stroll_srl_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stroll SRL Test\n",
    "\n",
    "Test the eScience tool [Stroll](https://github.com/Filter-Bubble/stroll) for semantic role labeling of Dutch\n",
    "\n",
    "In the test, we attempted to use Stroll for the tasks described in the paper [Digital story grammar: a quantitative methodology for narrative analysis](https://www.tandfonline.com/doi/abs/10.1080/13645579.2020.1723205) by Stefan Bastholm Andrade and Ditte Andersen\n",
    "\n",
    "Note: the AllenNLP software can be used for processing English text, see https://allennlp.org/ and notebook [allennlp-tests.ipynb](https://github.com/navigating-stories/notebooks/blob/main/allennlp-tests.ipynb) in this directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import re\n",
    "import stanza\n",
    "import stroll.stanza\n",
    "import sys\n",
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def squeal(text=None):\n",
    "    clear_output(wait=True)\n",
    "    if not text is None: print(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. SRL analysis functions\n",
    "\n",
    "Steps for analyzing letters with `analyze_letter`:\n",
    "\n",
    "1. Read text of letters with `read_file`\n",
    "1. Get NLP analysis from Stanza with `run_nlp`\n",
    "1. Convert NLP analysis to table with `nlp_analysis_to_table`\n",
    "1. Correct head attachments for verb \"zijn\" (\"be\") with `correct_attachments_table`\n",
    "1. Perform SRL analysis on NLP tabl with `nlp_table_to_srl_table`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def analyze_letter(letter_id):\n",
    "    text = read_file(letter_id)\n",
    "    nlp_analysis = run_nlp(text)\n",
    "    nlp_table_df = nlp_analysis_to_table(nlp_analysis)\n",
    "    nlp_table_df = correct_attachments_table(nlp_table_df)\n",
    "    srl_table_df = nlp_table_to_srl_table(nlp_table_df)\n",
    "    return text, nlp_table_df, srl_table_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "FILE_DIR = \"../letters/\"\n",
    "\n",
    "def read_file(in_file_id):\n",
    "    try:\n",
    "        in_file = open(f\"{FILE_DIR}{in_file_id}.txt\", \"r\")\n",
    "    except:\n",
    "        sys.exit(f\"cannot open {FILE_DIR}{in_file_id}.txt\")\n",
    "    text = \"\"\n",
    "    for line in in_file:\n",
    "        text += line.strip() + \" \"\n",
    "    in_file.close()\n",
    "    return text.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-06-09 15:59:24 INFO: Loading these models for language: nl (Dutch):\n",
      "=======================\n",
      "| Processor | Package |\n",
      "-----------------------\n",
      "| tokenize  | alpino  |\n",
      "| pos       | alpino  |\n",
      "| lemma     | alpino  |\n",
      "| depparse  | alpino  |\n",
      "| srl       | default |\n",
      "=======================\n",
      "\n",
      "2022-06-09 15:59:24 INFO: Use device: cpu\n",
      "2022-06-09 15:59:24 INFO: Loading: tokenize\n",
      "2022-06-09 15:59:24 INFO: Loading: pos\n",
      "2022-06-09 15:59:25 INFO: Loading: lemma\n",
      "2022-06-09 15:59:25 INFO: Loading: depparse\n",
      "2022-06-09 15:59:25 INFO: Loading: srl\n",
      "Warning : `load_model` does not return WordVectorModel or SupervisedModel any more, but a `FastText` object which is very similar.\n",
      "2022-06-09 15:59:27 INFO: Done loading processors!\n"
     ]
    }
   ],
   "source": [
    "    run_nlp = stanza.Pipeline(lang='nl', processors='tokenize,lemma,pos,depparse,srl', abcdef=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.7.5 (default, Dec  9 2021, 17:04:37) \\n[GCC 8.4.0]'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def nlp_analysis_to_table(nlp_analysis):\n",
    "    nbr_of_words = 0\n",
    "    for s in nlp_analysis.sentences:\n",
    "        for w in s.words:\n",
    "            if nbr_of_words == 0:\n",
    "                nlp_table_df = pd.DataFrame({\"id\": [w.id], \n",
    "                                             \"text\": [w.text], \n",
    "                                             \"lemma\": [w.lemma],\n",
    "                                             \"upos\": [w.upos],\n",
    "                                             \"xpos\": [w.xpos],\n",
    "                                             \"feats\": [w.feats],\n",
    "                                             \"head\": [w.head],\n",
    "                                             \"deprel\": [w.deprel],\n",
    "                                             \"deps\": [w.deps],\n",
    "                                             \"misc\": [w.misc],\n",
    "                                             \"start_char\": [w.start_char],\n",
    "                                             \"end_char\": [w.end_char],\n",
    "                                             \"parent\": [w.parent],\n",
    "                                             \"sent\": [w.sent],\n",
    "                                             \"srl\": [w.srl],\n",
    "                                             \"frame\": [w.frame],\n",
    "                                            })\n",
    "            else:\n",
    "                nlp_table_df.loc[len(nlp_table_df.index)] = [ w.id, w.text, w.lemma, w.upos, w.xpos, w.feats, \n",
    "                                                              w.head, w.deprel, w.deps, w.misc, w.start_char, w.end_char, \n",
    "                                                              w.parent, w.sent, w.srl, w.frame, ]\n",
    "            nbr_of_words += 1\n",
    "    return nlp_table_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "SRL_FIELDS = [ \"sent_id\", \"head_id\", \"head\", \"nsubj\", \"rel\", \"Arg0\", \"Arg1\", \"Arg2\", \n",
    "               \"ArgM-ADV\", \"ArgM-CAU\", \"ArgM-DIS\", \"ArgM-LOC\", \"ArgM-MNR\", \"ArgM-MOD\", \"ArgM-NEG\", \"ArgM-REC\", \"ArgM-TMP\", ]\n",
    "\n",
    "\n",
    "def srl_dict_to_srl_list(srl_dict, nlp_dict):\n",
    "    srl_list = len(SRL_FIELDS) * [ \"\" ]\n",
    "    for i in range(0, len(SRL_FIELDS)):\n",
    "        if SRL_FIELDS[i] in srl_dict:\n",
    "            srl_list[i] = srl_dict[SRL_FIELDS[i]]\n",
    "        if SRL_FIELDS[i] in nlp_dict:\n",
    "            srl_list[i] = nlp_dict[SRL_FIELDS[i]]\n",
    "    return srl_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_srl_data_to_srl_table(srl_table_df, srl_data, nlp_data, sentence):\n",
    "    print(srl_data)\n",
    "    for phrase_key in srl_data:\n",
    "        if 'head' in srl_data[phrase_key]:\n",
    "            srl_data[phrase_key][\"head\"] += \" \" + sentence[phrase_key]\n",
    "        elif phrase_key > 0:\n",
    "            srl_data[phrase_key][\"head\"] = sentence[phrase_key]\n",
    "        else:\n",
    "            srl_data[phrase_key][\"head\"] = \"FILLER\"\n",
    "        if phrase_key in nlp_data:\n",
    "            srl_table_df.loc[len(srl_table_df)] = srl_dict_to_srl_list(srl_data[phrase_key], nlp_data[phrase_key])\n",
    "        else:\n",
    "            srl_table_df.loc[len(srl_table_df)] = srl_dict_to_srl_list(srl_data[phrase_key], {})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def swap_aux_head(sentence_df, child, head, heads_head):\n",
    "    for i in range(0, len(sentence_df)):\n",
    "        if sentence_df.at[i, \"id\"] == head:\n",
    "            sentence_df.at[i, \"head\"] = child\n",
    "        elif sentence_df.at[i, \"id\"] == child:\n",
    "            sentence_df.at[i, \"head\"] = heads_head\n",
    "        elif sentence_df.at[i, \"head\"] == head:\n",
    "            sentence_df.at[i, \"head\"] = child\n",
    "    return sentence_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "def correct_attachments_sentence(sentence_df):\n",
    "    children = {}\n",
    "    xpos = {}\n",
    "    upos = {}\n",
    "    text = {}\n",
    "    heads = {}\n",
    "    for i, row in sentence_df.iterrows():\n",
    "        child = row[\"id\"]\n",
    "        head = row[\"head\"]\n",
    "        if head not in children:\n",
    "            children[head] = []\n",
    "        children[head].append(child)\n",
    "        xpos[child] = row[\"xpos\"]\n",
    "        upos[child] = row[\"upos\"]\n",
    "        text[child] = row[\"text\"]\n",
    "        heads[child] = head\n",
    "    for head in children:\n",
    "        if head != 0 and not re.search(\"^WW\", xpos[head]):\n",
    "            for child in children[head]:\n",
    "                if re.search(\"^WW\", xpos[child]) and upos[child] == \"AUX\":\n",
    "                    sentence_df = swap_aux_head(sentence_df, child, head, heads[head])\n",
    "    return sentence_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def correct_attachments_table(nlp_table_df):\n",
    "    sentence_df = pd.DataFrame([])\n",
    "    nlp_table_df_out = pd.DataFrame([])\n",
    "    last_id = -1\n",
    "    for i, row in nlp_table_df.iterrows():\n",
    "        if row[\"id\"] < last_id:\n",
    "            new_sentence_df = correct_attachments_sentence(sentence_df)\n",
    "            if len(nlp_table_df_out) == 0:\n",
    "                nlp_table_df_out = new_sentence_df\n",
    "            else:\n",
    "                nlp_table_df_out = pd.concat([nlp_table_df_out, new_sentence_df])\n",
    "            sentence_df = pd.DataFrame([])\n",
    "        sentence_df = sentence_df.append(pd.DataFrame([row]), ignore_index = True)\n",
    "        last_id = row[\"id\"]\n",
    "    if len(sentence_df) > 0:\n",
    "        new_sentence_df = correct_attachments_sentence(sentence_df)\n",
    "        if len(nlp_table_df_out) == 0:\n",
    "            nlp_table_df_out = new_sentence_df\n",
    "        else:\n",
    "            nlp_table_df_out = pd.concat([nlp_table_df_out, new_sentence_df])\n",
    "    return nlp_table_df_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def nlp_table_to_srl_table(nlp_table_df):\n",
    "    srl_table_df = pd.DataFrame({ field: [] for field in SRL_FIELDS })\n",
    "    srl_data = {}\n",
    "    nlp_data = {}\n",
    "    sentence = {}\n",
    "    last_id = 0\n",
    "    sent_id = 1\n",
    "    for i, row in nlp_table_df.iterrows():\n",
    "        if row['id'] <= last_id:\n",
    "            if len(srl_data) > 0:\n",
    "                add_srl_data_to_srl_table(srl_table_df, srl_data, nlp_data, sentence)\n",
    "            sent_id += 1\n",
    "            srl_data = {}\n",
    "            nlp_data = {}\n",
    "            sentence = {}\n",
    "        if row['srl'] != \"_\":\n",
    "            if row['head'] not in srl_data:\n",
    "                srl_data[row['head']] = { \"sent_id\": sent_id, \"head_id\": row[\"head\"] }\n",
    "            if row['srl'] in srl_data[row['head']]:\n",
    "                print(f\"duplicate role for {row['srl']} [{i}]: {srl_data[row['head']][row['srl']]} and {row['lemma']}\")\n",
    "                srl_data[row['head']][row['srl']] += \" \" + row['lemma']\n",
    "            else:\n",
    "                srl_data[row['head']][row['srl']] = row['lemma']\n",
    "        if row['frame'] == \"rel\":\n",
    "            if row['id'] not in srl_data:\n",
    "                srl_data[row['id']] = { \"sent_id\": sent_id, \"head_id\": row[\"id\"] }\n",
    "            if row['frame'] not in srl_data[row['id']]:\n",
    "                srl_data[row['id']][row['frame']] = row['lemma']\n",
    "            else:\n",
    "                srl_data[row['id']][row['frame']] += \" \" + row['lemma']\n",
    "        if row['deprel'] == \"nsubj\":\n",
    "            if row['head'] not in nlp_data:\n",
    "                nlp_data[row['head']] = { \"sent_id\": sent_id, \"head_id\": row[\"head\"] }\n",
    "            if 'nsubj' in nlp_data[row['head']]:\n",
    "                nlp_data[row['head']][\"nsubj\"] += \" \" + row['lemma']\n",
    "            else:\n",
    "                nlp_data[row['head']][\"nsubj\"] = row['lemma']\n",
    "        if row['deprel'] == \"compound:prt\":\n",
    "            if row['head'] not in nlp_data:\n",
    "                nlp_data[row['head']] = { \"sent_id\": sent_id, \"head_id\": row[\"head\"] }\n",
    "            if 'head' in nlp_data[row['head']]:\n",
    "                nlp_data[row['head']][\"head\"] += \" \" + row['lemma']\n",
    "            else:\n",
    "                nlp_data[row['head']][\"head\"] = row['lemma']\n",
    "        last_id = row['id']\n",
    "        sentence[row['id']] = row['lemma'] \n",
    "    if len(srl_data) > 0:\n",
    "        add_srl_data_to_srl_table(srl_table_df, srl_data, nlp_data, sentence)\n",
    "    return srl_table_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. SRL application to text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Source of Dutch pandemic letters: https://www.utwente.nl/en/bms/ehealth/research/story-lab/post-corona%20Futures/Letters/Nederlands/\n",
    "\n",
    "Short texts: 10 and 18\n",
    "    \n",
    "Long texts: 14 and 17"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/erikt/projects/navigatingstories/env/lib/python3.7/site-packages/dgl/base.py:45: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
      "  return warnings.warn(message, category=category, stacklevel=1)\n",
      "/home/erikt/projects/navigatingstories/env/lib/python3.7/site-packages/dgl/base.py:45: DGLWarning: DGLGraph.__len__ is deprecated.Please directly call DGLGraph.number_of_nodes.\n",
      "  return warnings.warn(message, category=category, stacklevel=1)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{11: {'sent_id': 2, 'head_id': 11, 'Arg1': 'ik', 'Arg2': 'tijd_machine', 'rel': 'gaan'}}\n",
      "{2: {'sent_id': 3, 'head_id': 2, 'ArgM-TMP': 'toekomst'}, 14: {'sent_id': 3, 'head_id': 14, 'Arg2': 'anders'}}\n",
      "{2: {'sent_id': 4, 'head_id': 2, 'Arg1': 'technologie'}}\n",
      "{7: {'sent_id': 5, 'head_id': 7, 'rel': 'rijden', 'Arg1': 'auto'}}\n",
      "{10: {'sent_id': 6, 'head_id': 10, 'ArgM-ADV': 'wennen'}}\n",
      "{2: {'sent_id': 7, 'head_id': 2, 'Arg0': 'auto', 'rel': 'rijden', 'ArgM-LOC': 'water', 'ArgM-ADV': 'benzine'}, 13: {'sent_id': 7, 'head_id': 13, 'ArgM-TMP': 'vroeg'}}\n",
      "{3: {'sent_id': 8, 'head_id': 3, 'Arg0': 'stad'}, 10: {'sent_id': 8, 'head_id': 10, 'Arg0': 'mens', 'rel': 'hebben', 'Arg1': 'contact', 'ArgM-REC': 'elkaar'}}\n",
      "duplicate role for ArgM-CAU [10]: corona and daarom\n",
      "{9: {'sent_id': 9, 'head_id': 9, 'ArgM-CAU': 'corona daarom', 'rel': 'trekken', 'Arg0': 'mens', 'ArgM-ADV': 'veel', 'ArgM-REC': 'elkaar'}}\n",
      "duplicate role for Arg1 [3]: toekomst and er\n",
      "{3: {'sent_id': 10, 'head_id': 3, 'Arg1': 'toekomst er', 'rel': 'zien', 'ArgM-MNR': 'goed'}, 9: {'sent_id': 10, 'head_id': 9, 'Arg0': 'ik', 'rel': 'hebben', 'Arg1': 'gezin'}}\n",
      "{2: {'sent_id': 11, 'head_id': 2, 'Arg0': 'ik', 'rel': 'wonen', 'ArgM-LOC': 'Amsterdam'}, 6: {'sent_id': 11, 'head_id': 6, 'rel': 'hebben', 'Arg1': 'huis'}}\n",
      "{4: {'sent_id': 12, 'head_id': 4, 'Arg1': 'ik'}, 10: {'sent_id': 12, 'head_id': 10, 'ArgM-MNR': 'aardig', 'Arg1': 'geld', 'rel': 'op_sparen'}}\n",
      "{2: {'sent_id': 13, 'head_id': 2, 'Arg0': 'ik', 'ArgM-MOD': 'gaan'}, 0: {'sent_id': 13, 'head_id': 0, 'ArgM-MOD': 'willen'}, 8: {'sent_id': 13, 'head_id': 8, 'Arg1': 'geld', 'ArgM-TMP': 'uiteindelijk', 'rel': 'geven', 'Arg2': 'kind'}}\n",
      "{2: {'sent_id': 14, 'head_id': 2, 'ArgM-DIS': 'ook'}, 11: {'sent_id': 14, 'head_id': 11, 'Arg0': 'we', 'rel': 'zien', 'ArgM-REC': 'elkaar', 'ArgM-TMP': 'week', 'ArgM-MNR': 'minimaal'}}\n",
      "duplicate role for Arg1 [18]: succes and leven\n",
      "{10: {'sent_id': 15, 'head_id': 10, 'Arg0': 'ik'}, 5: {'sent_id': 15, 'head_id': 5, 'ArgM-MOD': 'willen'}, 16: {'sent_id': 15, 'head_id': 16, 'Arg2': 'jou', 'ArgM-TMP': 'nog', 'Arg1': 'succes leven', 'rel': 'wensen'}}\n",
      "{1: {'sent_id': 16, 'head_id': 1, 'rel': 'maken', 'Arg1': 'goed'}}\n"
     ]
    }
   ],
   "source": [
    "text, nlp_table_df, srl_table_df = analyze_letter(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Vrolijk en schoon Mijn naam is J. en ik ben in een tijdmachine gegaan. Het is 40 jaar later in de toekomst en het is zo anders geworden. Er is veel meer technologie en het is vrolijker geworden. De straten zijn drukker, er rijden meer auto’s. Maar het zijn andere auto’s dan wat ik gewend ben. Auto’s rijden op schoon water in plaats van benzine wat vroeger zo was. De stad lijkt gezelliger geworden dan vroeger en mensen hebben meer contact met elkaar. Sinds de corona virus van 40 jaar geleden trekken mensen daarom meer met elkaar op. Mijn toekomst ziet er goed uit, ik heb een gezin met 3 kinderen. Ik woon in Amsterdam en heb een erg mooie huis. Ik ben zakenman geworden en heb aardig wat geld opgespaard. Ik wil al dit geld uiteindelijk gaan geven aan mn kinderen, ze zijn namelijk alles voor mij. Ik ben ook erg goed met mijn familie, we zien elkaar elke week minimaal 3x. Zoon, deze brief is voor jou en ik wil jou nog heel veel succes wensen met je leven. Maak er het beste van jongen!'"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sent_id</th>\n",
       "      <th>head_id</th>\n",
       "      <th>head</th>\n",
       "      <th>nsubj</th>\n",
       "      <th>rel</th>\n",
       "      <th>Arg0</th>\n",
       "      <th>Arg1</th>\n",
       "      <th>Arg2</th>\n",
       "      <th>ArgM-ADV</th>\n",
       "      <th>ArgM-CAU</th>\n",
       "      <th>ArgM-DIS</th>\n",
       "      <th>ArgM-LOC</th>\n",
       "      <th>ArgM-MNR</th>\n",
       "      <th>ArgM-MOD</th>\n",
       "      <th>ArgM-NEG</th>\n",
       "      <th>ArgM-REC</th>\n",
       "      <th>ArgM-TMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>gaan</td>\n",
       "      <td>ik</td>\n",
       "      <td>gaan</td>\n",
       "      <td></td>\n",
       "      <td>ik</td>\n",
       "      <td>tijd_machine</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>het</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>toekomst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>worden</td>\n",
       "      <td>het</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>anders</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>technologie</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>technologie</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>rijden</td>\n",
       "      <td>auto</td>\n",
       "      <td>rijden</td>\n",
       "      <td></td>\n",
       "      <td>auto</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>wennen</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>rijden</td>\n",
       "      <td>auto</td>\n",
       "      <td>rijden</td>\n",
       "      <td>auto</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>benzine</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>water</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>wat</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>vroeg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>lijken</td>\n",
       "      <td>stad</td>\n",
       "      <td></td>\n",
       "      <td>stad</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>hebben</td>\n",
       "      <td>mens</td>\n",
       "      <td>hebben</td>\n",
       "      <td>mens</td>\n",
       "      <td>contact</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>elkaar</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>op</td>\n",
       "      <td>mens</td>\n",
       "      <td>trekken</td>\n",
       "      <td>mens</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>veel</td>\n",
       "      <td>corona daarom</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>elkaar</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>zien</td>\n",
       "      <td>toekomst</td>\n",
       "      <td>zien</td>\n",
       "      <td></td>\n",
       "      <td>toekomst er</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>goed</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>hebben</td>\n",
       "      <td>ik</td>\n",
       "      <td>hebben</td>\n",
       "      <td>ik</td>\n",
       "      <td>gezin</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>wonen</td>\n",
       "      <td>ik</td>\n",
       "      <td>wonen</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>hebben</td>\n",
       "      <td></td>\n",
       "      <td>hebben</td>\n",
       "      <td></td>\n",
       "      <td>huis</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>worden</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>op_sparen</td>\n",
       "      <td></td>\n",
       "      <td>op_sparen</td>\n",
       "      <td></td>\n",
       "      <td>geld</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>aardig</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>willen</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>gaan</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>FILLER</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>willen</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>13.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>geven</td>\n",
       "      <td></td>\n",
       "      <td>geven</td>\n",
       "      <td></td>\n",
       "      <td>geld</td>\n",
       "      <td>kind</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>uiteindelijk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ook</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>zien</td>\n",
       "      <td>we</td>\n",
       "      <td>zien</td>\n",
       "      <td>we</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>minimaal</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>elkaar</td>\n",
       "      <td>week</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>willen</td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td>ik</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>zijn</td>\n",
       "      <td>brief</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>willen</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>15.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>wensen</td>\n",
       "      <td></td>\n",
       "      <td>wensen</td>\n",
       "      <td></td>\n",
       "      <td>succes leven</td>\n",
       "      <td>jou</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>nog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>maken</td>\n",
       "      <td></td>\n",
       "      <td>maken</td>\n",
       "      <td></td>\n",
       "      <td>goed</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sent_id  head_id       head        nsubj        rel  Arg0          Arg1  \\\n",
       "0       2.0     11.0       gaan           ik       gaan                  ik   \n",
       "1       3.0      2.0       zijn          het                                  \n",
       "2       3.0     14.0     worden          het                                  \n",
       "3       4.0      2.0       zijn  technologie                    technologie   \n",
       "4       5.0      7.0     rijden         auto     rijden                auto   \n",
       "5       6.0     10.0       zijn           ik                                  \n",
       "6       7.0      2.0     rijden         auto     rijden  auto                 \n",
       "7       7.0     13.0       zijn          wat                                  \n",
       "8       8.0      3.0     lijken         stad             stad                 \n",
       "9       8.0     10.0     hebben         mens     hebben  mens       contact   \n",
       "10      9.0      9.0         op         mens    trekken  mens                 \n",
       "11     10.0      3.0       zien     toekomst       zien         toekomst er   \n",
       "12     10.0      9.0     hebben           ik     hebben    ik         gezin   \n",
       "13     11.0      2.0      wonen           ik      wonen    ik                 \n",
       "14     11.0      6.0     hebben                  hebben                huis   \n",
       "15     12.0      4.0     worden           ik                             ik   \n",
       "16     12.0     10.0  op_sparen               op_sparen                geld   \n",
       "17     13.0      2.0     willen           ik               ik                 \n",
       "18     13.0      0.0     FILLER                                               \n",
       "19     13.0      8.0      geven                   geven                geld   \n",
       "20     14.0      2.0       zijn           ik                                  \n",
       "21     14.0     11.0       zien           we       zien    we                 \n",
       "22     15.0     10.0     willen           ik               ik                 \n",
       "23     15.0      5.0       zijn        brief                                  \n",
       "24     15.0     16.0     wensen                  wensen        succes leven   \n",
       "25     16.0      1.0      maken                   maken                goed   \n",
       "\n",
       "            Arg2 ArgM-ADV       ArgM-CAU ArgM-DIS   ArgM-LOC  ArgM-MNR  \\\n",
       "0   tijd_machine                                                         \n",
       "1                                                                        \n",
       "2         anders                                                         \n",
       "3                                                                        \n",
       "4                                                                        \n",
       "5                  wennen                                                \n",
       "6                 benzine                              water             \n",
       "7                                                                        \n",
       "8                                                                        \n",
       "9                                                                        \n",
       "10                   veel  corona daarom                                 \n",
       "11                                                                goed   \n",
       "12                                                                       \n",
       "13                                                 Amsterdam             \n",
       "14                                                                       \n",
       "15                                                                       \n",
       "16                                                              aardig   \n",
       "17                                                                       \n",
       "18                                                                       \n",
       "19          kind                                                         \n",
       "20                                            ook                        \n",
       "21                                                            minimaal   \n",
       "22                                                                       \n",
       "23                                                                       \n",
       "24           jou                                                         \n",
       "25                                                                       \n",
       "\n",
       "   ArgM-MOD ArgM-NEG ArgM-REC      ArgM-TMP  \n",
       "0                                            \n",
       "1                                  toekomst  \n",
       "2                                            \n",
       "3                                            \n",
       "4                                            \n",
       "5                                            \n",
       "6                                            \n",
       "7                                     vroeg  \n",
       "8                                            \n",
       "9                      elkaar                \n",
       "10                     elkaar                \n",
       "11                                           \n",
       "12                                           \n",
       "13                                           \n",
       "14                                           \n",
       "15                                           \n",
       "16                                           \n",
       "17     gaan                                  \n",
       "18   willen                                  \n",
       "19                             uiteindelijk  \n",
       "20                                           \n",
       "21                     elkaar          week  \n",
       "22                                           \n",
       "23   willen                                  \n",
       "24                                      nog  \n",
       "25                                           "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "srl_table_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>text</th>\n",
       "      <th>lemma</th>\n",
       "      <th>upos</th>\n",
       "      <th>xpos</th>\n",
       "      <th>feats</th>\n",
       "      <th>head</th>\n",
       "      <th>deprel</th>\n",
       "      <th>deps</th>\n",
       "      <th>misc</th>\n",
       "      <th>start_char</th>\n",
       "      <th>end_char</th>\n",
       "      <th>parent</th>\n",
       "      <th>sent</th>\n",
       "      <th>srl</th>\n",
       "      <th>frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "      <td>LET</td>\n",
       "      <td>None</td>\n",
       "      <td>3</td>\n",
       "      <td>punct</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>452</td>\n",
       "      <td>453</td>\n",
       "      <td>[\\n  {\\n    \"id\": 15,\\n    \"text\": \".\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"De\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Sinds</td>\n",
       "      <td>sinds</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>454</td>\n",
       "      <td>459</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>de</td>\n",
       "      <td>de</td>\n",
       "      <td>DET</td>\n",
       "      <td>LID|bep|stan|rest</td>\n",
       "      <td>Definite=Def</td>\n",
       "      <td>4</td>\n",
       "      <td>det</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>460</td>\n",
       "      <td>462</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"de\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>corona</td>\n",
       "      <td>corona</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|zijd|stan</td>\n",
       "      <td>Gender=Com|Number=Sing</td>\n",
       "      <td>9</td>\n",
       "      <td>obl</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>463</td>\n",
       "      <td>469</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"corona\",\\n ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>ArgM-CAU</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>virus</td>\n",
       "      <td>virus</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|onz|stan</td>\n",
       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>3</td>\n",
       "      <td>appos</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>470</td>\n",
       "      <td>475</td>\n",
       "      <td>[\\n  {\\n    \"id\": 4,\\n    \"text\": \"virus\",\\n  ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>van</td>\n",
       "      <td>van</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>8</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>476</td>\n",
       "      <td>479</td>\n",
       "      <td>[\\n  {\\n    \"id\": 5,\\n    \"text\": \"van\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>NUM</td>\n",
       "      <td>TW|hoofd|prenom|stan</td>\n",
       "      <td>None</td>\n",
       "      <td>7</td>\n",
       "      <td>nummod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>480</td>\n",
       "      <td>482</td>\n",
       "      <td>[\\n  {\\n    \"id\": 6,\\n    \"text\": \"40\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>jaar</td>\n",
       "      <td>jaar</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|onz|stan</td>\n",
       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>8</td>\n",
       "      <td>nmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>483</td>\n",
       "      <td>487</td>\n",
       "      <td>[\\n  {\\n    \"id\": 7,\\n    \"text\": \"jaar\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>geleden</td>\n",
       "      <td>geleden</td>\n",
       "      <td>ADV</td>\n",
       "      <td>BW</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>nmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>488</td>\n",
       "      <td>495</td>\n",
       "      <td>[\\n  {\\n    \"id\": 8,\\n    \"text\": \"geleden\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>trekken</td>\n",
       "      <td>trekken</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|pv|tgw|mv</td>\n",
       "      <td>Number=Plur|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>496</td>\n",
       "      <td>503</td>\n",
       "      <td>[\\n  {\\n    \"id\": 9,\\n    \"text\": \"trekken\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>rel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>mensen</td>\n",
       "      <td>mens</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|mv|basis</td>\n",
       "      <td>Number=Plur</td>\n",
       "      <td>9</td>\n",
       "      <td>nsubj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>504</td>\n",
       "      <td>510</td>\n",
       "      <td>[\\n  {\\n    \"id\": 10,\\n    \"text\": \"mensen\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>Arg0</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>daarom</td>\n",
       "      <td>daarom</td>\n",
       "      <td>ADV</td>\n",
       "      <td>BW</td>\n",
       "      <td>None</td>\n",
       "      <td>9</td>\n",
       "      <td>advmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>511</td>\n",
       "      <td>517</td>\n",
       "      <td>[\\n  {\\n    \"id\": 11,\\n    \"text\": \"daarom\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>ArgM-CAU</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>meer</td>\n",
       "      <td>veel</td>\n",
       "      <td>ADV</td>\n",
       "      <td>VNW|onbep|grad|stan|vrij|zonder|comp</td>\n",
       "      <td>None</td>\n",
       "      <td>9</td>\n",
       "      <td>advmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>518</td>\n",
       "      <td>522</td>\n",
       "      <td>[\\n  {\\n    \"id\": 12,\\n    \"text\": \"meer\",\\n  ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>ArgM-ADV</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>met</td>\n",
       "      <td>met</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>14</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>523</td>\n",
       "      <td>526</td>\n",
       "      <td>[\\n  {\\n    \"id\": 13,\\n    \"text\": \"met\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>elkaar</td>\n",
       "      <td>elkaar</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|recip|pron|obl|vol|persoon|mv</td>\n",
       "      <td>Case=Acc|PronType=Rcp</td>\n",
       "      <td>9</td>\n",
       "      <td>obl</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>527</td>\n",
       "      <td>533</td>\n",
       "      <td>[\\n  {\\n    \"id\": 14,\\n    \"text\": \"elkaar\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>ArgM-REC</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>op</td>\n",
       "      <td>op</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|fin</td>\n",
       "      <td>None</td>\n",
       "      <td>9</td>\n",
       "      <td>compound:prt</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>534</td>\n",
       "      <td>536</td>\n",
       "      <td>[\\n  {\\n    \"id\": 15,\\n    \"text\": \"op\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "      <td>LET</td>\n",
       "      <td>None</td>\n",
       "      <td>9</td>\n",
       "      <td>punct</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>536</td>\n",
       "      <td>537</td>\n",
       "      <td>[\\n  {\\n    \"id\": 16,\\n    \"text\": \".\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Mijn</td>\n",
       "      <td>mijn</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|bez|det|stan|vol|1|ev|prenom|zonder|agr</td>\n",
       "      <td>Person=1|Poss=Yes|PronType=Prs</td>\n",
       "      <td>2</td>\n",
       "      <td>nmod:poss</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>538</td>\n",
       "      <td>542</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>toekomst</td>\n",
       "      <td>toekomst</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|zijd|stan</td>\n",
       "      <td>Gender=Com|Number=Sing</td>\n",
       "      <td>3</td>\n",
       "      <td>nsubj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>543</td>\n",
       "      <td>551</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"toekomst\",\\...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...</td>\n",
       "      <td>Arg1</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>ziet</td>\n",
       "      <td>zien</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|pv|tgw|met-t</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>552</td>\n",
       "      <td>556</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"ziet\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...</td>\n",
       "      <td>_</td>\n",
       "      <td>rel</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id      text     lemma   upos  \\\n",
       "14  15         .         .  PUNCT   \n",
       "0    1     Sinds     sinds    ADP   \n",
       "1    2        de        de    DET   \n",
       "2    3    corona    corona   NOUN   \n",
       "3    4     virus     virus   NOUN   \n",
       "4    5       van       van    ADP   \n",
       "5    6        40        40    NUM   \n",
       "6    7      jaar      jaar   NOUN   \n",
       "7    8   geleden   geleden    ADV   \n",
       "8    9   trekken   trekken   VERB   \n",
       "9   10    mensen      mens   NOUN   \n",
       "10  11    daarom    daarom    ADV   \n",
       "11  12      meer      veel    ADV   \n",
       "12  13       met       met    ADP   \n",
       "13  14    elkaar    elkaar   PRON   \n",
       "14  15        op        op    ADP   \n",
       "15  16         .         .  PUNCT   \n",
       "0    1      Mijn      mijn   PRON   \n",
       "1    2  toekomst  toekomst   NOUN   \n",
       "2    3      ziet      zien   VERB   \n",
       "\n",
       "                                           xpos  \\\n",
       "14                                          LET   \n",
       "0                                       VZ|init   \n",
       "1                             LID|bep|stan|rest   \n",
       "2                    N|soort|ev|basis|zijd|stan   \n",
       "3                     N|soort|ev|basis|onz|stan   \n",
       "4                                       VZ|init   \n",
       "5                          TW|hoofd|prenom|stan   \n",
       "6                     N|soort|ev|basis|onz|stan   \n",
       "7                                            BW   \n",
       "8                                  WW|pv|tgw|mv   \n",
       "9                              N|soort|mv|basis   \n",
       "10                                           BW   \n",
       "11         VNW|onbep|grad|stan|vrij|zonder|comp   \n",
       "12                                      VZ|init   \n",
       "13            VNW|recip|pron|obl|vol|persoon|mv   \n",
       "14                                       VZ|fin   \n",
       "15                                          LET   \n",
       "0   VNW|bez|det|stan|vol|1|ev|prenom|zonder|agr   \n",
       "1                    N|soort|ev|basis|zijd|stan   \n",
       "2                               WW|pv|tgw|met-t   \n",
       "\n",
       "                                  feats  head        deprel  deps  misc  \\\n",
       "14                                 None     3         punct  None  None   \n",
       "0                                  None     4          case  None  None   \n",
       "1                          Definite=Def     4           det  None  None   \n",
       "2                Gender=Com|Number=Sing     9           obl  None  None   \n",
       "3               Gender=Neut|Number=Sing     3         appos  None  None   \n",
       "4                                  None     8          case  None  None   \n",
       "5                                  None     7        nummod  None  None   \n",
       "6               Gender=Neut|Number=Sing     8          nmod  None  None   \n",
       "7                                  None     4          nmod  None  None   \n",
       "8   Number=Plur|Tense=Pres|VerbForm=Fin     0          root  None  None   \n",
       "9                           Number=Plur     9         nsubj  None  None   \n",
       "10                                 None     9        advmod  None  None   \n",
       "11                                 None     9        advmod  None  None   \n",
       "12                                 None    14          case  None  None   \n",
       "13                Case=Acc|PronType=Rcp     9           obl  None  None   \n",
       "14                                 None     9  compound:prt  None  None   \n",
       "15                                 None     9         punct  None  None   \n",
       "0        Person=1|Poss=Yes|PronType=Prs     2     nmod:poss  None  None   \n",
       "1                Gender=Com|Number=Sing     3         nsubj  None  None   \n",
       "2   Number=Sing|Tense=Pres|VerbForm=Fin     0          root  None  None   \n",
       "\n",
       "    start_char  end_char                                             parent  \\\n",
       "14         452       453  [\\n  {\\n    \"id\": 15,\\n    \"text\": \".\",\\n    \"...   \n",
       "0          454       459  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...   \n",
       "1          460       462  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"de\",\\n    \"...   \n",
       "2          463       469  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"corona\",\\n ...   \n",
       "3          470       475  [\\n  {\\n    \"id\": 4,\\n    \"text\": \"virus\",\\n  ...   \n",
       "4          476       479  [\\n  {\\n    \"id\": 5,\\n    \"text\": \"van\",\\n    ...   \n",
       "5          480       482  [\\n  {\\n    \"id\": 6,\\n    \"text\": \"40\",\\n    \"...   \n",
       "6          483       487  [\\n  {\\n    \"id\": 7,\\n    \"text\": \"jaar\",\\n   ...   \n",
       "7          488       495  [\\n  {\\n    \"id\": 8,\\n    \"text\": \"geleden\",\\n...   \n",
       "8          496       503  [\\n  {\\n    \"id\": 9,\\n    \"text\": \"trekken\",\\n...   \n",
       "9          504       510  [\\n  {\\n    \"id\": 10,\\n    \"text\": \"mensen\",\\n...   \n",
       "10         511       517  [\\n  {\\n    \"id\": 11,\\n    \"text\": \"daarom\",\\n...   \n",
       "11         518       522  [\\n  {\\n    \"id\": 12,\\n    \"text\": \"meer\",\\n  ...   \n",
       "12         523       526  [\\n  {\\n    \"id\": 13,\\n    \"text\": \"met\",\\n   ...   \n",
       "13         527       533  [\\n  {\\n    \"id\": 14,\\n    \"text\": \"elkaar\",\\n...   \n",
       "14         534       536  [\\n  {\\n    \"id\": 15,\\n    \"text\": \"op\",\\n    ...   \n",
       "15         536       537  [\\n  {\\n    \"id\": 16,\\n    \"text\": \".\",\\n    \"...   \n",
       "0          538       542  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...   \n",
       "1          543       551  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"toekomst\",\\...   \n",
       "2          552       556  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"ziet\",\\n   ...   \n",
       "\n",
       "                                                 sent       srl frame  \n",
       "14  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"De\",\\n    \"...         _     _  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...  ArgM-CAU     _  \n",
       "3   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "4   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "5   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "6   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "7   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "8   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _   rel  \n",
       "9   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...      Arg0     _  \n",
       "10  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...  ArgM-CAU     _  \n",
       "11  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...  ArgM-ADV     _  \n",
       "12  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "13  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...  ArgM-REC     _  \n",
       "14  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "15  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Sinds\",\\n  ...         _     _  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...         _     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...      Arg1     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Mijn\",\\n   ...         _   rel  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nlp_table_df[90:110]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Who, where, when, what, why and how?\n",
    "\n",
    "The six questions were proposed by Roberto Franzosi, On quantitative narrative analysis. In: J.A. Holstein & J.F. Gubrium, Varieties of narative analysys, London: Sage, 2012."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_results(results_dict):\n",
    "    results_df = pd.DataFrame([{ \"key\": key, \"count\": results_dict[key], \"best value\": \"\"} \n",
    "                               for key in sorted(results_dict, key=lambda k: results_dict[k], reverse=True)])\n",
    "    best_keys = get_best_keys(results_df)\n",
    "    for i, row in results_df.iterrows():\n",
    "        if row[\"key\"] in best_keys:\n",
    "            results_df.at[i, \"best value\"] = \"yes\"\n",
    "    return results_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best keys are those with the highest counts. If several keys have the same highest counts, preference is given to those staring with a capital character."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_best_keys(results_df):\n",
    "    best_count = -1\n",
    "    best_keys = []\n",
    "    for i, row in results_df.iterrows():\n",
    "        if row[\"count\"] > best_count:\n",
    "            best_count = row[\"count\"]\n",
    "            best_keys = [row[\"key\"]]\n",
    "        elif row[\"count\"] == best_count:\n",
    "            best_keys.append(row[\"key\"])\n",
    "    case_is_upper = []\n",
    "    for key in best_keys:\n",
    "        case_is_upper.append(re.search(r\"^[A-Z]\", key) != None)\n",
    "    if True in case_is_upper:\n",
    "        best_keys = [ best_keys[i] for i in range(0, len(best_keys)) if case_is_upper[i] ] \n",
    "    return best_keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_actors(srl_table_df):\n",
    "    actors = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"Arg0\"] != \"\":\n",
    "            actor = row[\"Arg0\"]\n",
    "        elif row[\"nsubj\"] != \"\":\n",
    "            actor = row[\"nsubj\"]\n",
    "        else:\n",
    "            actor = \"\"\n",
    "        if actor != \"\":\n",
    "            if actor in actors:\n",
    "                actors[actor] += 1\n",
    "            else:\n",
    "                actors[actor] = 1\n",
    "    return actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_locations(srl_table_df):\n",
    "    locations = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"ArgM-LOC\"] != \"\":\n",
    "            location = row[\"ArgM-LOC\"]\n",
    "        else:\n",
    "            location = \"\"\n",
    "        if location != \"\":\n",
    "            if location in locations:\n",
    "                locations[location] += 1\n",
    "            else:\n",
    "                locations[location] = 1\n",
    "    return locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_times(srl_table_df):\n",
    "    times = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"ArgM-TMP\"] != \"\":\n",
    "            time = row[\"ArgM-TMP\"]\n",
    "        else:\n",
    "            time = \"\"\n",
    "        if time != \"\":\n",
    "            if time in times:\n",
    "                times[time] += 1\n",
    "            else:\n",
    "                times[time] = 1\n",
    "    return times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_causes(srl_table_df):\n",
    "    causes = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"ArgM-CAU\"] != \"\":\n",
    "            cause = row[\"ArgM-CAU\"]\n",
    "        else:\n",
    "            cause = \"\"\n",
    "        if cause != \"\":\n",
    "            if cause in causes:\n",
    "                causes[cause] += 1\n",
    "            else:\n",
    "                causes[cause] = 1\n",
    "    return causes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_manners(srl_table_df):\n",
    "    manners = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"ArgM-MNR\"] != \"\":\n",
    "            manner = row[\"ArgM-MNR\"]\n",
    "        else:\n",
    "            manner = \"\"\n",
    "        if manner != \"\":\n",
    "            if manner in manners:\n",
    "                manners[manner] += 1\n",
    "            else:\n",
    "                manners[manner] = 1\n",
    "    return manners"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_actions(srl_table_df):\n",
    "    actions = {}\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"rel\"] != \"\":\n",
    "            action = row[\"rel\"]\n",
    "        elif row[\"head\"] != \"\":\n",
    "            action = row[\"head\"]\n",
    "        else:\n",
    "            action = \"\"\n",
    "        if action != \"\":\n",
    "            if action in actions:\n",
    "                actions[action] += 1\n",
    "            else:\n",
    "                actions[action] = 1\n",
    "    return actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ik</td>\n",
       "      <td>8</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>het</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>auto</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mens</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>technologie</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>wat</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           key  count best value\n",
       "0           ik      8        yes\n",
       "1          het      2           \n",
       "2         auto      2           \n",
       "3         mens      2           \n",
       "4  technologie      1           \n",
       "5          wat      1           "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_actors(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>water</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         key  count best value\n",
       "0      water      1           \n",
       "1  Amsterdam      1        yes"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_locations(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>toekomst</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>vroeg</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>uiteindelijk</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>week</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>nog</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            key  count best value\n",
       "0      toekomst      1        yes\n",
       "1         vroeg      1        yes\n",
       "2  uiteindelijk      1        yes\n",
       "3          week      1        yes\n",
       "4           nog      1        yes"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_times(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>goed</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aardig</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>minimaal</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        key  count best value\n",
       "0      goed      1        yes\n",
       "1    aardig      1        yes\n",
       "2  minimaal      1        yes"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_manners(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>corona daarom</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             key  count best value\n",
       "0  corona daarom      1        yes"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_causes(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key</th>\n",
       "      <th>count</th>\n",
       "      <th>best value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>zijn</td>\n",
       "      <td>6</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hebben</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>worden</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rijden</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>zien</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>willen</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      key  count best value\n",
       "0    zijn      6        yes\n",
       "1  hebben      3           \n",
       "2  worden      2           \n",
       "3  rijden      2           \n",
       "4    zien      2           \n",
       "5  willen      2           "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_actions(srl_table_df)).loc[:5,]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Subject, verb, object\n",
    "\n",
    "Analysis based on dependency relation but the quality of these seems to be quite low"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1: {'root': 'vrolijk'}, 3: {'conj': 'schoon'}}\n",
      "{3: {'subj': 'naam'}, 4: {'root': 'J.'}, 11: {'subj': 'ik', 'conj': 'gaan'}}\n",
      "{2: {'subj': 'het'}, 5: {'root': 'laat'}, 14: {'subj': 'het', 'conj': 'worden'}}\n",
      "{2: {'root': 'zijn', 'subj': 'technologie'}, 10: {'subj': 'het', 'conj': 'worden'}}\n",
      "{3: {'subj': 'straat'}, 4: {'root': 'druk'}, 7: {'subj': 'auto'}}\n",
      "{3: {'subj': 'het'}, 5: {'root': 'auto'}, 10: {'obj': 'wat', 'subj': 'ik'}}\n",
      "{2: {'subj': 'auto', 'root': 'rijden'}, 13: {'subj': 'wat'}}\n",
      "{3: {'subj': 'stad', 'root': 'lijken'}, 10: {'subj': 'mens', 'conj': 'hebben', 'obj': 'contact'}}\n",
      "{9: {'root': 'trekken', 'subj': 'mens'}}\n",
      "{3: {'subj': 'toekomst', 'root': 'zien'}, 9: {'subj': 'ik', 'obj': 'gezin'}}\n",
      "{2: {'subj': 'ik', 'root': 'wonen'}, 6: {'conj': 'hebben', 'obj': 'huis'}}\n",
      "{4: {'subj': 'ik', 'root': 'worden'}, 10: {'obj': 'geld', 'conj': 'op_sparen'}}\n",
      "{2: {'subj': 'ik', 'root': 'willen'}, 8: {'obj': 'geld'}, 14: {'subj': 'ze'}}\n",
      "{2: {'subj': 'ik'}, 5: {'root': 'goed'}, 11: {'subj': 'we', 'obj': 'elkaar 3x'}}\n",
      "{5: {'subj': 'brief', 'root': 'zijn'}, 10: {'subj': 'ik', 'conj': 'willen'}, 16: {'obj': 'jou succes'}}\n",
      "{1: {'root': 'maken', 'obj': 'goed'}}\n"
     ]
    }
   ],
   "source": [
    "sent_data = {}\n",
    "last_token_id = -1\n",
    "for i, row in nlp_table_df.iterrows():\n",
    "    if row[\"id\"] < last_token_id:\n",
    "        if len(sent_data) > 0:\n",
    "            print(sent_data)\n",
    "            sent_data = {}\n",
    "    last_token_id = row[\"id\"]\n",
    "    for rel in [ \"conj\", \"obj\", \"root\", \"subj\"]:\n",
    "        if re.search(rel, row[\"deprel\"]):\n",
    "            if rel == \"root\" or rel == \"conj\":\n",
    "                head = row[\"id\"]\n",
    "            else:\n",
    "                head = row[\"head\"]\n",
    "            if head not in sent_data:\n",
    "                sent_data[head] = {}\n",
    "            if rel in sent_data[head]:\n",
    "                sent_data[head][rel] += \" \" + row[\"lemma\"]\n",
    "            else:\n",
    "                sent_data[head][rel] = row[\"lemma\"]\n",
    "if len(sent_data) > 0:\n",
    "    print(sent_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>text</th>\n",
       "      <th>lemma</th>\n",
       "      <th>upos</th>\n",
       "      <th>xpos</th>\n",
       "      <th>feats</th>\n",
       "      <th>head</th>\n",
       "      <th>deprel</th>\n",
       "      <th>deps</th>\n",
       "      <th>misc</th>\n",
       "      <th>start_char</th>\n",
       "      <th>end_char</th>\n",
       "      <th>parent</th>\n",
       "      <th>sent</th>\n",
       "      <th>srl</th>\n",
       "      <th>frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Ik</td>\n",
       "      <td>ik</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|pers|pron|nomin|vol|1|ev</td>\n",
       "      <td>Case=Nom|Person=1|PronType=Prs</td>\n",
       "      <td>4</td>\n",
       "      <td>nsubj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>651</td>\n",
       "      <td>653</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>Arg1</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>ben</td>\n",
       "      <td>zijn</td>\n",
       "      <td>AUX</td>\n",
       "      <td>WW|pv|tgw|ev</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>4</td>\n",
       "      <td>aux</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>654</td>\n",
       "      <td>657</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"ben\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>zakenman</td>\n",
       "      <td>zakenman</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|zijd|stan</td>\n",
       "      <td>Gender=Com|Number=Sing</td>\n",
       "      <td>4</td>\n",
       "      <td>xcomp</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>658</td>\n",
       "      <td>666</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"zakenman\",\\...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>geworden</td>\n",
       "      <td>worden</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|vd|vrij|zonder</td>\n",
       "      <td>VerbForm=Part</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>667</td>\n",
       "      <td>675</td>\n",
       "      <td>[\\n  {\\n    \"id\": 4,\\n    \"text\": \"geworden\",\\...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>en</td>\n",
       "      <td>CCONJ</td>\n",
       "      <td>VG|neven</td>\n",
       "      <td>None</td>\n",
       "      <td>10</td>\n",
       "      <td>cc</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>676</td>\n",
       "      <td>678</td>\n",
       "      <td>[\\n  {\\n    \"id\": 5,\\n    \"text\": \"en\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>heb</td>\n",
       "      <td>hebben</td>\n",
       "      <td>AUX</td>\n",
       "      <td>WW|pv|tgw|ev</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>10</td>\n",
       "      <td>aux</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>679</td>\n",
       "      <td>682</td>\n",
       "      <td>[\\n  {\\n    \"id\": 6,\\n    \"text\": \"heb\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>aardig</td>\n",
       "      <td>aardig</td>\n",
       "      <td>ADJ</td>\n",
       "      <td>ADJ|vrij|basis|zonder</td>\n",
       "      <td>Degree=Pos</td>\n",
       "      <td>10</td>\n",
       "      <td>advmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>683</td>\n",
       "      <td>689</td>\n",
       "      <td>[\\n  {\\n    \"id\": 7,\\n    \"text\": \"aardig\",\\n ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>ArgM-MNR</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>wat</td>\n",
       "      <td>wat</td>\n",
       "      <td>DET</td>\n",
       "      <td>VNW|onbep|pron|stan|vol|3o|ev</td>\n",
       "      <td>None</td>\n",
       "      <td>9</td>\n",
       "      <td>det</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>690</td>\n",
       "      <td>693</td>\n",
       "      <td>[\\n  {\\n    \"id\": 8,\\n    \"text\": \"wat\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>geld</td>\n",
       "      <td>geld</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|onz|stan</td>\n",
       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>10</td>\n",
       "      <td>obj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>694</td>\n",
       "      <td>698</td>\n",
       "      <td>[\\n  {\\n    \"id\": 9,\\n    \"text\": \"geld\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>Arg1</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>opgespaard</td>\n",
       "      <td>op_sparen</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|vd|vrij|zonder</td>\n",
       "      <td>VerbForm=Part</td>\n",
       "      <td>4</td>\n",
       "      <td>conj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>699</td>\n",
       "      <td>709</td>\n",
       "      <td>[\\n  {\\n    \"id\": 10,\\n    \"text\": \"opgespaard...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>rel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "      <td>LET</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>punct</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>709</td>\n",
       "      <td>710</td>\n",
       "      <td>[\\n  {\\n    \"id\": 11,\\n    \"text\": \".\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Ik</td>\n",
       "      <td>ik</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|pers|pron|nomin|vol|1|ev</td>\n",
       "      <td>Case=Nom|Person=1|PronType=Prs</td>\n",
       "      <td>2</td>\n",
       "      <td>nsubj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>711</td>\n",
       "      <td>713</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>Arg0</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>wil</td>\n",
       "      <td>willen</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|pv|tgw|ev</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>714</td>\n",
       "      <td>717</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"wil\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>ArgM-MOD</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>al</td>\n",
       "      <td>al</td>\n",
       "      <td>ADV</td>\n",
       "      <td>VNW|onbep|det|stan|vrij|zonder</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>amod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>718</td>\n",
       "      <td>720</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"al\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id        text      lemma   upos                            xpos  \\\n",
       "0    1          Ik         ik   PRON    VNW|pers|pron|nomin|vol|1|ev   \n",
       "1    2         ben       zijn    AUX                    WW|pv|tgw|ev   \n",
       "2    3    zakenman   zakenman   NOUN      N|soort|ev|basis|zijd|stan   \n",
       "3    4    geworden     worden   VERB               WW|vd|vrij|zonder   \n",
       "4    5          en         en  CCONJ                        VG|neven   \n",
       "5    6         heb     hebben    AUX                    WW|pv|tgw|ev   \n",
       "6    7      aardig     aardig    ADJ           ADJ|vrij|basis|zonder   \n",
       "7    8         wat        wat    DET   VNW|onbep|pron|stan|vol|3o|ev   \n",
       "8    9        geld       geld   NOUN       N|soort|ev|basis|onz|stan   \n",
       "9   10  opgespaard  op_sparen   VERB               WW|vd|vrij|zonder   \n",
       "10  11           .          .  PUNCT                             LET   \n",
       "0    1          Ik         ik   PRON    VNW|pers|pron|nomin|vol|1|ev   \n",
       "1    2         wil     willen   VERB                    WW|pv|tgw|ev   \n",
       "2    3          al         al    ADV  VNW|onbep|det|stan|vrij|zonder   \n",
       "\n",
       "                                  feats  head  deprel  deps  misc  start_char  \\\n",
       "0        Case=Nom|Person=1|PronType=Prs     4   nsubj  None  None         651   \n",
       "1   Number=Sing|Tense=Pres|VerbForm=Fin     4     aux  None  None         654   \n",
       "2                Gender=Com|Number=Sing     4   xcomp  None  None         658   \n",
       "3                         VerbForm=Part     0    root  None  None         667   \n",
       "4                                  None    10      cc  None  None         676   \n",
       "5   Number=Sing|Tense=Pres|VerbForm=Fin    10     aux  None  None         679   \n",
       "6                            Degree=Pos    10  advmod  None  None         683   \n",
       "7                                  None     9     det  None  None         690   \n",
       "8               Gender=Neut|Number=Sing    10     obj  None  None         694   \n",
       "9                         VerbForm=Part     4    conj  None  None         699   \n",
       "10                                 None     4   punct  None  None         709   \n",
       "0        Case=Nom|Person=1|PronType=Prs     2   nsubj  None  None         711   \n",
       "1   Number=Sing|Tense=Pres|VerbForm=Fin     0    root  None  None         714   \n",
       "2                                  None     4    amod  None  None         718   \n",
       "\n",
       "    end_char                                             parent  \\\n",
       "0        653  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...   \n",
       "1        657  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"ben\",\\n    ...   \n",
       "2        666  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"zakenman\",\\...   \n",
       "3        675  [\\n  {\\n    \"id\": 4,\\n    \"text\": \"geworden\",\\...   \n",
       "4        678  [\\n  {\\n    \"id\": 5,\\n    \"text\": \"en\",\\n    \"...   \n",
       "5        682  [\\n  {\\n    \"id\": 6,\\n    \"text\": \"heb\",\\n    ...   \n",
       "6        689  [\\n  {\\n    \"id\": 7,\\n    \"text\": \"aardig\",\\n ...   \n",
       "7        693  [\\n  {\\n    \"id\": 8,\\n    \"text\": \"wat\",\\n    ...   \n",
       "8        698  [\\n  {\\n    \"id\": 9,\\n    \"text\": \"geld\",\\n   ...   \n",
       "9        709  [\\n  {\\n    \"id\": 10,\\n    \"text\": \"opgespaard...   \n",
       "10       710  [\\n  {\\n    \"id\": 11,\\n    \"text\": \".\",\\n    \"...   \n",
       "0        713  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...   \n",
       "1        717  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"wil\",\\n    ...   \n",
       "2        720  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"al\",\\n    \"...   \n",
       "\n",
       "                                                 sent       srl frame  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...      Arg1     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "3   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "4   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "5   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "6   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...  ArgM-MNR     _  \n",
       "7   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "8   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...      Arg1     _  \n",
       "9   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _   rel  \n",
       "10  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...      Arg0     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...  ArgM-MOD     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...         _     _  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nlp_table_df[133:147]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Analyze all letters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/erikt/projects/navigatingstories/env/lib/python3.7/site-packages/dgl/base.py:45: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
      "  return warnings.warn(message, category=category, stacklevel=1)\n",
      "/home/erikt/projects/navigatingstories/env/lib/python3.7/site-packages/dgl/base.py:45: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
      "  return warnings.warn(message, category=category, stacklevel=1)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "duplicate role for Arg1 [21]: dat and inzicht\n",
      "{16: {'sent_id': 2, 'head_id': 16, 'Arg1': 'één-en-twintiger', 'rel': 'besluiten', 'Arg0': 'groep'}, 30: {'sent_id': 2, 'head_id': 30, 'Arg1': 'dat inzicht', 'ArgM-NEG': 'nooit', 'ArgM-MOD': 'mogen', 'rel': 'gaan'}}\n",
      "duplicate role for ArgM-TMP [6]: al and 2021\n",
      "duplicate role for ArgM-ADV [8]: hen and 21-questions-day\n",
      "{3: {'sent_id': 4, 'head_id': 3, 'ArgM-ADV': 'hen 21-questions-day', 'rel': 'vieren', 'Arg0': 'we', 'ArgM-TMP': 'al 2021'}}\n",
      "duplicate role for Arg1 [8]: hiervoor and hart\n",
      "{4: {'sent_id': 5, 'head_id': 4, 'Arg0': 'jij'}, 10: {'sent_id': 5, 'head_id': 10, 'Arg0': 'jij', 'Arg1': 'hiervoor hart', 'rel': 'uit_nodigen'}}\n",
      "duplicate role for ArgM-TMP [7]: dag and 13:00\n",
      "{4: {'sent_id': 6, 'head_id': 4, 'ArgM-TMP': 'dag 13:00', 'rel': 'komen', 'Arg1': '21ers'}}\n",
      "{15: {'sent_id': 7, 'head_id': 15, 'ArgM-REC': 'elkaar', 'ArgM-MNR': 'ronde', 'Arg1': 'vraag', 'rel': 'stellen'}, 18: {'sent_id': 7, 'head_id': 18, 'rel': 'beantwoorden'}}\n",
      "duplicate role for Arg1 [9]: hieronder and doen\n",
      "duplicate role for Arg1 [12]: stellen and samenleving\n",
      "duplicate role for ArgM-MOD [20]: zullen and moeten\n",
      "{2: {'sent_id': 8, 'head_id': 2, 'Arg1': 'hieronder doen', 'rel': 'lezen', 'Arg0': 'je'}, 10: {'sent_id': 8, 'head_id': 10, 'Arg0': 'wat', 'Arg1': 'stellen samenleving', 'rel': 'doen'}, 19: {'sent_id': 8, 'head_id': 19, 'ArgM-CAU': 'waarom', 'Arg1': 'generatie', 'Arg2': 'hieraan', 'rel': 'herinneren', 'ArgM-MOD': 'zullen moeten'}}\n",
      "{1: {'sent_id': 9, 'head_id': 1, 'rel': 'wijzen', 'Arg1': 'erbij', 'ArgM-TMP': 'blijven'}, 9: {'sent_id': 9, 'head_id': 9, 'Arg1': 'traditie'}, 10: {'sent_id': 9, 'head_id': 10, 'rel': 'leven'}}\n",
      "{3: {'sent_id': 11, 'head_id': 3, 'Arg3': 'jullie', 'rel': 'hebben', 'Arg0': 'woord', 'ArgM-ADV': 'waarschijnlijk', 'Arg1': 'betekenis'}}\n",
      "{7: {'sent_id': 12, 'head_id': 7, 'Arg0': 'die', 'ArgM-MNR': 'anders', 'rel': 'voelen'}}\n",
      "{9: {'sent_id': 14, 'head_id': 9, 'Arg1': 'veel', 'rel': 'richten', 'Arg2': 'vermijden'}}\n",
      "duplicate role for Arg1 [3]: dat and mens\n",
      "{2: {'sent_id': 15, 'head_id': 2, 'Arg1': 'dat mens', 'rel': 'doen', 'ArgM-MNR': 'produceren'}, 7: {'sent_id': 15, 'head_id': 7, 'rel': 'produceren'}, 10: {'sent_id': 15, 'head_id': 10, 'rel': 'consumeren'}}\n",
      "{4: {'sent_id': 16, 'head_id': 4, 'ArgM-CAU': 'activiteit', 'rel': 'hopen', 'Arg0': 'ze', 'ArgM-REC': 'zichzelf', 'Arg1': 'vergeten'}, 12: {'sent_id': 16, 'head_id': 12, 'ArgM-MNR': 'daarmee', 'Arg1': 'angst', 'rel': 'vergeten'}}\n",
      "{8: {'sent_id': 17, 'head_id': 8, 'Arg0': 'Westen', 'ArgM-REC': 'zich', 'ArgM-EXT': 'rijk', 'rel': 'voelen'}, 10: {'sent_id': 17, 'head_id': 10, 'ArgM-ADV': 'voelen'}, 18: {'sent_id': 17, 'head_id': 18, 'Arg1': 'veel', 'ArgM-NEG': 'niet', 'rel': 'veroorloven'}}\n",
      "{4: {'sent_id': 18, 'head_id': 4, 'ArgM-TMP': 'corona-cris-periode', 'rel': 'beginnen'}}\n",
      "{3: {'sent_id': 19, 'head_id': 3, 'ArgM-PNC': 'veel', 'rel': 'voelen', 'Arg1': 'periode', 'ArgM-ADV': 'break'}}\n",
      "{9: {'sent_id': 20, 'head_id': 9, 'Arg1': '‘break', 'ArgM-DIS': 'echter', 'Arg0': 'iedereen', 'ArgM-MNR': 'verschillend', 'rel': 'ervaren'}}\n",
      "{9: {'sent_id': 21, 'head_id': 9, 'Arg0': 'ze', 'Arg1': 'gevoel', 'rel': 'hebben'}, 2: {'sent_id': 21, 'head_id': 2, 'ArgM-CAU': 'hebben'}, 22: {'sent_id': 21, 'head_id': 22, 'Arg1': 'vrijheid', 'Arg2': 'hen', 'ArgM-MOD': 'willen', 'rel': 'ontnemen'}, 20: {'sent_id': 21, 'head_id': 20, 'ArgM-TMP': 'al', 'ArgM-ADV': 'dan', 'ArgM-NEG': 'niet'}}\n",
      "duplicate role for Arg1 [3]: ze and straat\n",
      "{2: {'sent_id': 22, 'head_id': 2, 'Arg1': 'ze straat', 'rel': 'gaan'}, 7: {'sent_id': 22, 'head_id': 7, 'rel': 'protesteren', 'Arg1': 'vrijheid'}}\n",
      "{2: {'sent_id': 23, 'head_id': 2, 'Arg1': 'ander', 'rel': 'gaan', 'Arg4': 'survival_mode'}, 8: {'sent_id': 23, 'head_id': 8, 'rel': 'hebben', 'ArgM-NEG': 'ruimte'}, 14: {'sent_id': 23, 'head_id': 14, 'rel': 'doen', 'Arg1': 'doen'}, 18: {'sent_id': 23, 'head_id': 18, 'Arg1': 'wat', 'Arg0': 'zij', 'ArgM-MOD': 'moeten', 'rel': 'doen', 'ArgM-LOC': 'zorg'}}\n",
      "{2: {'sent_id': 24, 'head_id': 2, 'ArgM-ADV': 'dan', 'rel': 'zijn', 'Arg1': 'mens'}, 8: {'sent_id': 24, 'head_id': 8, 'Arg0': 'die', 'Arg1': 'periode', 'rel': 'ervaarden', 'ArgM-TMP': 'moment'}}\n",
      "duplicate role for Arg1 [6]: wat and belangrijk\n",
      "{2: {'sent_id': 25, 'head_id': 2, 'Arg1': 'ze'}, 3: {'sent_id': 25, 'head_id': 3, 'rel': 'na_denken', 'Arg1': 'vinden'}, 8: {'sent_id': 25, 'head_id': 8, 'Arg1': 'wat belangrijk', 'Arg0': 'ze', 'rel': 'vinden', 'ArgM-MOD': 'willen'}, 15: {'sent_id': 25, 'head_id': 15, 'ArgM-MNR': 'hoe', 'Arg1': 'leven', 'rel': 'in_richten'}, 14: {'sent_id': 25, 'head_id': 14, 'Arg0': 'ze'}}\n",
      "{5: {'sent_id': 26, 'head_id': 5, 'ArgM-MNR': 'hoe', 'Arg0': 'ze', 'ArgM-REC': 'zich', 'ArgM-MOD': 'kunnen', 'rel': 'bevrijden', 'Arg1': 'druk'}, 17: {'sent_id': 26, 'head_id': 17, 'Arg4': 'waaronder', 'Arg0': 'zij', 'ArgM-TMP': 'dagelijks', 'rel': 'gaan'}}\n",
      "{8: {'sent_id': 27, 'head_id': 8, 'Arg1': 'gedachte', 'ArgM-DIS': 'overigens', 'ArgM-MNR': 'gemakkelijk', 'rel': 'af_wisselen', 'Arg0': 'gedachte'}}\n",
      "{3: {'sent_id': 28, 'head_id': 3, 'rel': 'drinken'}}\n",
      "{10: {'sent_id': 29, 'head_id': 10, 'Arg1': 'gebrek', 'Arg2': 'denken', 'ArgM-MNR': 'centraal', 'rel': 'staan'}, 12: {'sent_id': 29, 'head_id': 12, 'ArgM-ADV': 'staan', 'rel': 'leven', 'Arg1': 'gebrek', 'ArgM-TMP': 'harten'}}\n",
      "{3: {'sent_id': 30, 'head_id': 3, 'Arg1': 'mens', 'rel': 'leven', 'ArgM-TMP': 'nu', 'ArgM-LOC': 'anderhal_vemeter_samenleving'}, 9: {'sent_id': 30, 'head_id': 9, 'rel': 'beginnen', 'Arg1': 'beseffen'}, 11: {'sent_id': 30, 'head_id': 11, 'rel': 'beseffen', 'Arg1': 'verwijderen'}, 19: {'sent_id': 30, 'head_id': 19, 'Arg0': 'zij', 'ArgM-TMP': 'tijd', 'ArgM-EXT': 'ver', 'rel': 'verwijderen', 'ArgM-REC': 'zichzelf'}}\n",
      "{2: {'sent_id': 31, 'head_id': 2, 'Arg0': 'ze', 'rel': 'voelen', 'Arg1': 'verschil'}, 14: {'sent_id': 31, 'head_id': 14, 'Arg1': 'waaraan', 'Arg0': 'men', 'ArgM-NEG': 'niet', 'ArgM-MOD': 'kunnen', 'rel': 'ontsnappen'}, 17: {'sent_id': 31, 'head_id': 17, 'Arg0': 'dat', 'Arg1': 'virus'}, 21: {'sent_id': 31, 'head_id': 21, 'ArgM-DIS': 'wel', 'rel': 'zien'}, 32: {'sent_id': 31, 'head_id': 32, 'Arg1': 'die', 'ArgM-NEG': 'niet', 'rel': 'af_dwingen', 'ArgM-MOD': 'kunnen'}}\n",
      "{5: {'sent_id': 32, 'head_id': 5, 'ArgM-TMP': 'crisis'}, 9: {'sent_id': 32, 'head_id': 9, 'rel': 'dromen', 'Arg1': 'leven'}}\n",
      "{6: {'sent_id': 33, 'head_id': 6, 'Arg0': 'Denker', 'rel': 'vertellen', 'Arg1': 'Trouw'}}\n",
      "{8: {'sent_id': 34, 'head_id': 8, 'Arg0': 'filosofie', 'ArgM-MOD': 'moeten', 'ArgM-REC': 'zich', 'ArgM-TMP': 'nu', 'ArgM-EXT': 'bescheiden', 'rel': 'op_stellen'}}\n",
      "{5: {'sent_id': 35, 'head_id': 5, 'rel': 'vragen', 'Arg1': 'leren'}, 10: {'sent_id': 35, 'head_id': 10, 'Arg1': 'wat', 'Arg0': 'we', 'Arg2': 'hiervan', 'ArgM-MOD': 'kunnen', 'rel': 'leren'}}\n",
      "{2: {'sent_id': 36, 'head_id': 2, 'Arg0': 'we', 'rel': 'hebben', 'ArgM-ADV': 'nog', 'ArgM-NEG': 'beeld'}, 28: {'sent_id': 36, 'head_id': 28, 'Arg3': 'kar', 'rel': 'in_spannen'}}\n",
      "{8: {'sent_id': 37, 'head_id': 8, 'Arg0': 'diversiteit', 'rel': 'schepten', 'ArgM-DIS': 'dus', 'Arg1': 'toekomst_beeld'}}\n",
      "{3: {'sent_id': 38, 'head_id': 3, 'Arg0': 'Corona-crisis', 'rel': 'veranderen', 'Arg1': 'wereld', 'ArgM-MNR': 'in_grijpen'}, 8: {'sent_id': 38, 'head_id': 8, 'Arg0': 'haar', 'ArgM-MNR': 'tegelijkertijd'}}\n",
      "duplicate role for ArgM-MNR [20]: normaal and normaal\n",
      "{8: {'sent_id': 39, 'head_id': 8, 'ArgM-TMP': 'versoepeling', 'rel': 'merken', 'Arg0': 'mens', 'Arg1': 'verschillen'}, 17: {'sent_id': 39, 'head_id': 17, 'Arg1': '‘nieuwe', 'ArgM-MNR': 'normaal normaal', 'ArgM-NEG': 'niet', 'ArgM-EXT': 'veel', 'rel': 'verschillen', 'Arg2': '‘oude'}, 26: {'sent_id': 39, 'head_id': 26, 'ArgM-ADV': 'wennen'}}\n",
      "{7: {'sent_id': 40, 'head_id': 7, 'Arg4': 'er', 'ArgM-ADV': 'alleen', 'Arg1': 'iets', 'rel': 'komen'}, 17: {'sent_id': 40, 'head_id': 17, 'ArgM-ADV': 'afstand', 'Arg0': 'ze', 'rel': 'leren', 'Arg1': 'stellen'}, 21: {'sent_id': 40, 'head_id': 21, 'ArgM-REC': 'elkaar', 'Arg1': 'vraag', 'rel': 'stellen', 'ArgM-PNC': 'overbruggen'}, 30: {'sent_id': 40, 'head_id': 30, 'Arg1': 'afstand', 'rel': 'overbruggen'}}\n",
      "duplicate role for Arg1 [10]: antwoord and antwoord\n",
      "{20: {'sent_id': 41, 'head_id': 20, 'Arg1': 'Alles_goed_vraag', 'rel': 'veranderen', 'ArgM-EXT': 'vaak', 'ArgM-LOC': 'vraag'}, 12: {'sent_id': 41, 'head_id': 12, 'Arg0': 'die', 'ArgM-ADV': 'eigenlijk', 'ArgM-DIS': 'maar', 'Arg1': 'antwoord antwoord', 'rel': 'kennen'}}\n",
      "duplicate role for ArgM-DIS [25]: ook and wel\n",
      "{3: {'sent_id': 42, 'head_id': 3, 'ArgM-MNR': 'hoe', 'rel': 'ervaaren', 'Arg0': 'jij', 'Arg1': 'werken'}, 14: {'sent_id': 42, 'head_id': 14, 'Arg0': 'wat', 'rel': 'houden', 'Arg1': 'jou', 'ArgM-TMP': 'nu'}, 22: {'sent_id': 42, 'head_id': 22, 'rel': 'vool_voelen', 'Arg0': 'jij', 'Arg1': 'je', 'ArgM-DIS': 'ook wel', 'ArgM-TMP': 'eens', 'ArgM-MNR': 'angstig'}}\n",
      "{4: {'sent_id': 43, 'head_id': 4, 'Arg0': 'wat', 'rel': 'helpen', 'Arg1': 'jou', 'ArgM-PNC': 'ervaren'}, 10: {'sent_id': 43, 'head_id': 10, 'Arg1': 'voldoening', 'rel': 'ervaren'}}\n",
      "{8: {'sent_id': 44, 'head_id': 8, 'ArgM-TMP': 'moment', 'rel': 'sterven', 'Arg1': '‘alles-goed', 'ArgM-MNR': 'vraag', 'ArgM-EXT': 'helemaal'}, 16: {'sent_id': 44, 'head_id': 16, 'rel': 'vormen', 'Arg0': 'mens', 'Arg1': 'rituel'}, 28: {'sent_id': 44, 'head_id': 28, 'ArgM-REC': 'elkaar', 'ArgM-ADV': 'echt', 'rel': 'zien'}, 31: {'sent_id': 44, 'head_id': 31, 'rel': 'horen'}}\n",
      "{11: {'sent_id': 45, 'head_id': 11, 'Arg0': 'stellen', 'rel': 'door_breken', 'Arg1': 'muur', 'ArgM-MNR': 'langzaam'}, 21: {'sent_id': 45, 'head_id': 21, 'Arg1': 'die', 'Arg0': 'mens', 'Arg2': 'zich', 'rel': 'bouwen'}}\n",
      "{2: {'sent_id': 46, 'head_id': 2, 'Arg0': 'het', 'rel': 'geven', 'Arg2': 'mens', 'Arg1': 'mogelijkheid'}, 5: {'sent_id': 46, 'head_id': 5, 'ArgM-MOD': 'mogen'}, 9: {'sent_id': 46, 'head_id': 9, 'ArgM-LOC': 'situatie'}, 25: {'sent_id': 46, 'head_id': 25, 'ArgM-LOC': 'waarin'}, 23: {'sent_id': 46, 'head_id': 23, 'Arg0': 'zij', 'rel': 'durven', 'Arg1': 'laten'}, 26: {'sent_id': 46, 'head_id': 26, 'ArgM-EXT': 'eerder', 'ArgM-TMP': 'vaak', 'ArgM-ADV': 'alleen', 'Arg1': 'versie', 'rel': 'zien'}}\n",
      "duplicate role for Arg0 [1]: dit and ‘mens\n",
      "{3: {'sent_id': 47, 'head_id': 3, 'Arg0': 'dit ‘mens', 'rel': 'leren'}, 8: {'sent_id': 47, 'head_id': 8, 'ArgM-MOD': 'moeten', 'ArgM-NEG': 'niet', 'rel': 'verwarden', 'Arg1': 'leren'}, 13: {'sent_id': 47, 'head_id': 13, 'ArgM-MNR': '‘jezelf', 'rel': 'leren', 'ArgM-ADV': 'gecultiveerd'}}\n",
      "duplicate role for Arg2 [39]: merk and markt\n",
      "{3: {'sent_id': 48, 'head_id': 3, 'Arg0': 'mens', 'rel': 'gaan', 'Arg1': 'veranderlijk'}, 17: {'sent_id': 48, 'head_id': 17, 'Arg1': 'dat', 'ArgM-TMP': 'steeds', 'ArgM-MNR': 'wijze', 'rel': 'verschijnen', 'ArgM-LOC': 'situatie', 'ArgM-ADV': 'verwijzen'}, 25: {'sent_id': 48, 'head_id': 25, 'ArgM-TMP': 'vaak', 'ArgM-LOC': '‘ik'}, 41: {'sent_id': 48, 'head_id': 41, 'Arg1': 'dat', 'Arg2': 'merk markt', 'rel': 'zetten', 'ArgM-MOD': 'moeten'}}\n",
      "duplicate role for Arg1 [6]: liefde and zichzelf\n",
      "{2: {'sent_id': 49, 'head_id': 2, 'Arg0': 'men'}, 5: {'sent_id': 49, 'head_id': 5, 'Arg1': 'liefde zichzelf', 'rel': 'kijken'}}\n",
      "{3: {'sent_id': 50, 'head_id': 3, 'ArgM-CAU': 'hierdoor', 'rel': 'produceren'}, 5: {'sent_id': 50, 'head_id': 5, 'rel': 'consumeren'}, 21: {'sent_id': 50, 'head_id': 21, 'Arg0': 'die', 'ArgM-LOC': 'daarbij', 'rel': 'horen'}}\n",
      "{1: {'sent_id': 52, 'head_id': 1, 'rel': 'komen', 'ArgM-TMP': '13:00', 'ArgM-DIR': 'festivalterrein'}}\n",
      "{5: {'sent_id': 53, 'head_id': 5, 'rel': 'herinneren'}, 8: {'sent_id': 53, 'head_id': 8, 'rel': 'vieren', 'ArgM-MOD': 'kunnen'}, 20: {'sent_id': 53, 'head_id': 20, 'Arg1': 'samenleving', 'ArgM-NEG': 'niet', 'ArgM-MNR': 'vraag'}, 15: {'sent_id': 53, 'head_id': 15, 'ArgM-LOC': 'waarin', 'Arg0': 'we', 'rel': 'leven'}}\n"
     ]
    }
   ],
   "source": [
    "file_names = sorted(os.listdir(FILE_DIR))\n",
    "\n",
    "all_srl_data = pd.DataFrame([])\n",
    "all_nlp_data = pd.DataFrame([])\n",
    "letter_lengths = []\n",
    "for file_name in file_names:\n",
    "    if re.search(r\"\\.txt$\", file_name):\n",
    "        letter_id = re.sub(r\"\\.txt$\", \"\", file_name)\n",
    "        squeal(letter_id)\n",
    "        text, nlp_table_df, srl_table_df = analyze_letter(letter_id)\n",
    "        all_srl_data = pd.concat([all_srl_data, srl_table_df])\n",
    "        all_nlp_data = pd.concat([all_nlp_data, nlp_table_df])\n",
    "        letter_lengths.append((len(srl_table_df), len(nlp_table_df)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14596, 1820, 14596, 1820)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(all_nlp_data), len(all_srl_data), sum([x[1] for x in letter_lengths]), sum([x[0] for x in letter_lengths])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
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       "    <tr>\n",
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       "      <td>komen</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "      key  count best value\n",
       "0    zijn    210        yes\n",
       "1    gaan    106           \n",
       "2  hebben     82           \n",
       "3   komen     69           \n",
       "4    doen     51           \n",
       "5    zien     38           "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_actions(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</div>"
      ],
      "text/plain": [
       "    key  count best value\n",
       "0    we    191        yes\n",
       "1    ik    172           \n",
       "2    je     67           \n",
       "3   het     60           \n",
       "4  mens     60           \n",
       "5   die     52           "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_actors(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</div>"
      ],
      "text/plain": [
       "      key  count best value\n",
       "0      nu     42        yes\n",
       "1    weer     26           \n",
       "2  steeds     17           \n",
       "3    jaar     16           \n",
       "4     nog     16           \n",
       "5    tijd     10           "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_times(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "        key  count best value\n",
       "0       hoe     22        yes\n",
       "1      goed     14           \n",
       "2  langzaam     10           \n",
       "3    anders      9           \n",
       "4    gewoon      8           \n",
       "5      snel      6           "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_manners(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "      key  count best value\n",
       "0    waar     16        yes\n",
       "1  waarin     14           \n",
       "2   leven      8           \n",
       "3    hier      8           \n",
       "4    daar      6           \n",
       "5   thuis      6           "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_locations(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "        key  count best value\n",
       "0  daardoor      8        yes\n",
       "1    waarom      5           \n",
       "2    daarom      3           \n",
       "3      gaan      2           \n",
       "4    hebben      2           \n",
       "5        er      2           "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_results(get_causes(all_srl_data)).loc[:5,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
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       "      <td>4</td>\n",
       "      <td>case</td>\n",
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       "      <td>verleden</td>\n",
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       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>1</td>\n",
       "      <td>nmod</td>\n",
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       "      <td>None</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>[\\n  {\\n    \"id\": 4,\\n    \"text\": \"verleden\",\\...</td>\n",
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       "      <td>PROPN</td>\n",
       "      <td>N|eigen|ev|basis|zijd|stan</td>\n",
       "      <td>Number=Sing</td>\n",
       "      <td>6</td>\n",
       "      <td>amod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>23</td>\n",
       "      <td>28</td>\n",
       "      <td>[\\n  {\\n    \"id\": 5,\\n    \"text\": \"Hallo\",\\n  ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>zonder</td>\n",
       "      <td>zonder</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>19</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5212</td>\n",
       "      <td>5218</td>\n",
       "      <td>[\\n  {\\n    \"id\": 17,\\n    \"text\": \"zonder\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>échte</td>\n",
       "      <td>echt</td>\n",
       "      <td>ADJ</td>\n",
       "      <td>ADJ|prenom|basis|met-e|stan</td>\n",
       "      <td>Degree=Pos</td>\n",
       "      <td>19</td>\n",
       "      <td>amod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5219</td>\n",
       "      <td>5224</td>\n",
       "      <td>[\\n  {\\n    \"id\": 18,\\n    \"text\": \"échte\",\\n ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>vragen</td>\n",
       "      <td>vraag</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|mv|basis</td>\n",
       "      <td>Number=Plur</td>\n",
       "      <td>20</td>\n",
       "      <td>obl</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5225</td>\n",
       "      <td>5231</td>\n",
       "      <td>[\\n  {\\n    \"id\": 19,\\n    \"text\": \"vragen\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...</td>\n",
       "      <td>ArgM-MNR</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>kan</td>\n",
       "      <td>kunnen</td>\n",
       "      <td>AUX</td>\n",
       "      <td>WW|pv|tgw|ev</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>8</td>\n",
       "      <td>ccomp</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5232</td>\n",
       "      <td>5235</td>\n",
       "      <td>[\\n  {\\n    \"id\": 20,\\n    \"text\": \"kan\",\\n   ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...</td>\n",
       "      <td>ArgM-MOD</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "      <td>LET</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "      <td>punct</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5235</td>\n",
       "      <td>5236</td>\n",
       "      <td>[\\n  {\\n    \"id\": 21,\\n    \"text\": \".\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14596 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    id      text     lemma   upos                         xpos  \\\n",
       "0    1     Brief     brief   NOUN   N|soort|ev|basis|zijd|stan   \n",
       "1    2       aan       aan    ADP                      VZ|init   \n",
       "2    3       het       het    DET            LID|bep|stan|evon   \n",
       "3    4  verleden  verleden   NOUN    N|soort|ev|basis|onz|stan   \n",
       "4    5     Hallo     Hallo  PROPN   N|eigen|ev|basis|zijd|stan   \n",
       "..  ..       ...       ...    ...                          ...   \n",
       "16  17    zonder    zonder    ADP                      VZ|init   \n",
       "17  18     échte      echt    ADJ  ADJ|prenom|basis|met-e|stan   \n",
       "18  19    vragen     vraag   NOUN             N|soort|mv|basis   \n",
       "19  20       kan    kunnen    AUX                 WW|pv|tgw|ev   \n",
       "20  21         .         .  PUNCT                          LET   \n",
       "\n",
       "                                  feats  head deprel  deps  misc  start_char  \\\n",
       "0                Gender=Com|Number=Sing     0   root  None  None           0   \n",
       "1                                  None     4   case  None  None           6   \n",
       "2                          Definite=Def     4    det  None  None          10   \n",
       "3               Gender=Neut|Number=Sing     1   nmod  None  None          14   \n",
       "4                           Number=Sing     6   amod  None  None          23   \n",
       "..                                  ...   ...    ...   ...   ...         ...   \n",
       "16                                 None    19   case  None  None        5212   \n",
       "17                           Degree=Pos    19   amod  None  None        5219   \n",
       "18                          Number=Plur    20    obl  None  None        5225   \n",
       "19  Number=Sing|Tense=Pres|VerbForm=Fin     8  ccomp  None  None        5232   \n",
       "20                                 None     2  punct  None  None        5235   \n",
       "\n",
       "    end_char                                             parent  \\\n",
       "0          5  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...   \n",
       "1          9  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"aan\",\\n    ...   \n",
       "2         13  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"het\",\\n    ...   \n",
       "3         22  [\\n  {\\n    \"id\": 4,\\n    \"text\": \"verleden\",\\...   \n",
       "4         28  [\\n  {\\n    \"id\": 5,\\n    \"text\": \"Hallo\",\\n  ...   \n",
       "..       ...                                                ...   \n",
       "16      5218  [\\n  {\\n    \"id\": 17,\\n    \"text\": \"zonder\",\\n...   \n",
       "17      5224  [\\n  {\\n    \"id\": 18,\\n    \"text\": \"échte\",\\n ...   \n",
       "18      5231  [\\n  {\\n    \"id\": 19,\\n    \"text\": \"vragen\",\\n...   \n",
       "19      5235  [\\n  {\\n    \"id\": 20,\\n    \"text\": \"kan\",\\n   ...   \n",
       "20      5236  [\\n  {\\n    \"id\": 21,\\n    \"text\": \".\",\\n    \"...   \n",
       "\n",
       "                                                 sent       srl frame  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...         _     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...         _     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...         _     _  \n",
       "3   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...         _     _  \n",
       "4   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Brief\",\\n  ...         _     _  \n",
       "..                                                ...       ...   ...  \n",
       "16  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...         _     _  \n",
       "17  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...         _     _  \n",
       "18  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...  ArgM-MNR     _  \n",
       "19  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...  ArgM-MOD     _  \n",
       "20  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Het\",\\n    ...         _     _  \n",
       "\n",
       "[14596 rows x 16 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_nlp_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Word frequencies\n",
    "\n",
    "We compare the frequencies of the words \"I\" (\"ik\") and \"we\" (\"we\" and \"wij\") in the tekst. The frequencies are divided in five classes: \"we\" is much more (>5) of somewhat (2-5) more frequent than \"I\" (++we and +we), \"I\" is much more (>5) of somewhat (2-5) more frequent than \"we\" (++I and +I) and the rest (===)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "class dict_class:\n",
    "    def __init__(self, init_dict={}):\n",
    "        self.data = dict(init_dict)\n",
    "        \n",
    "    def add(self, key, value=1):\n",
    "        if key not in self.data:\n",
    "            self.data[key] = value\n",
    "        else:\n",
    "            self.data[key] += value\n",
    "            \n",
    "    def get(self, key):\n",
    "        return self.data[key]\n",
    "    \n",
    "    def get_all(self):\n",
    "        return self.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compare_we(freq_i, freq_we):\n",
    "    if freq_i >= 5 * freq_we:\n",
    "        I_vs_we = \"++I\"\n",
    "    elif freq_i >= 2 * freq_we:\n",
    "        I_vs_we = \"+I\"\n",
    "    elif freq_we >= 5 * freq_i:\n",
    "        I_vs_we =  \"++we\"\n",
    "    elif freq_we >= 2 * freq_i:\n",
    "        I_vs_we = \"+we\"\n",
    "    else:\n",
    "        I_vs_we = \"===\"\n",
    "    if freq_we == 0:\n",
    "        ratio = \"INFI\"\n",
    "    else:\n",
    "        ratio = str(freq_i/freq_we)[0:4]\n",
    "    while len(ratio) < 4:\n",
    "        if re.search(\"\\.\", ratio):\n",
    "            ratio += \"0\"\n",
    "        else:\n",
    "            ratio += \" \"\n",
    "    return \" \"+ ratio + \" \" + I_vs_we"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "txt words ....I ...me ...we ..our ratio Ivswe\n",
      "  1   274 0.033 0.011 0.000 0.000  INFI ++I\n",
      "  2   438 0.009 0.005 0.034 0.005  0.26 +we\n",
      "  3  1091 0.016 0.002 0.012 0.005  1.38 ===\n",
      "  4   735 0.005 0.000 0.041 0.018  0.13 ++we\n",
      "  5   542 0.006 0.000 0.026 0.002  0.21 +we\n",
      "  6   328 0.003 0.000 0.018 0.000  0.16 ++we\n",
      "  7  1189 0.011 0.002 0.005 0.002  2.16 +I\n",
      "  8   676 0.010 0.004 0.019 0.007  0.53 ===\n",
      "  9   433 0.016 0.000 0.002 0.002  7.00 ++I\n",
      " 10   207 0.039 0.005 0.005 0.000  8.00 ++I\n",
      " 11  1014 0.001 0.000 0.012 0.004  0.08 ++we\n",
      " 12   392 0.026 0.000 0.013 0.000  2.00 +I\n",
      " 13   347 0.023 0.009 0.003 0.003  8.00 ++I\n",
      " 14  1669 0.022 0.003 0.010 0.006  2.11 +I\n",
      " 15   559 0.007 0.002 0.004 0.000  2.00 +I\n",
      " 16  1250 0.002 0.000 0.018 0.006  0.08 ++we\n",
      " 17  1478 0.028 0.003 0.011 0.006  2.56 +I\n",
      " 18   198 0.015 0.000 0.015 0.000  1.00 ===\n",
      " 19   437 0.016 0.000 0.034 0.021  0.46 +we\n",
      " 20   400 0.015 0.000 0.043 0.025  0.35 +we\n",
      " 21   939 0.000 0.000 0.004 0.000  0.00 ++we\n"
     ]
    }
   ],
   "source": [
    "counters = { \"word\": 0, \"I\": 0, \"the\": 0, \"me\": 0 , \"we\": 0, \"our\": 0 }\n",
    "last_id = 0\n",
    "text_id = 1\n",
    "word_id = 0\n",
    "I_vs_we = dict_class()\n",
    "print(\"txt words ....I ...me ...we ..our ratio Ivswe\")\n",
    "for i, row in list(all_nlp_data.iterrows()):\n",
    "    if word_id >= letter_lengths[text_id-1][1]:\n",
    "        freq_i = counters['I']/counters['word']\n",
    "        freq_we = counters['we']/counters['word']\n",
    "        print(f\"{text_id:3} {letter_lengths[text_id-1][1]:5} {freq_i:0.3f} {counters['me']/counters['word']:0.3f} \" +\n",
    "               f\"{freq_we:0.3f} {counters['our']/counters['word']:0.3f} {compare_we(freq_i, freq_we):4}\")\n",
    "        I_vs_we.add(compare_we(freq_i, freq_we))\n",
    "        counters = { \"word\": 0, \"I\": 0, \"the\": 0, \"me\": 0, \"we\": 0, \"our\": 0 }\n",
    "        text_id += 1\n",
    "        word_id = 0\n",
    "    word_id += 1\n",
    "    last_id = row.name\n",
    "    counters[\"word\"] += 1\n",
    "    if row[\"lemma\"] == \"ik\":\n",
    "        counters[\"I\"] += 1\n",
    "    if row[\"lemma\"] == \"de\":\n",
    "        counters[\"the\"] += 1\n",
    "    if row[\"lemma\"] == \"me\" or row[\"lemma\"] == \"mij\":\n",
    "        counters[\"me\"] += 1\n",
    "    if row[\"lemma\"] == \"we\" or row[\"lemma\"] == \"wij\":\n",
    "        counters[\"we\"] += 1\n",
    "    if row[\"lemma\"] == \"ons\" or row[\"lemma\"] == \"onze\":\n",
    "        counters[\"our\"] += 1\n",
    "\n",
    "if counters[\"word\"] > 0:\n",
    "    freq_i = counters['I']/counters['word']\n",
    "    freq_we = counters['we']/counters['word']\n",
    "    print(f\"{text_id:3} {letter_lengths[text_id-1][1]:5} {freq_i:0.3f} {counters['me']/counters['word']:0.3f} \" +\n",
    "           f\"{freq_we:0.3f} {counters['our']/counters['word']:0.3f} {compare_we(freq_i, freq_we):4}\")\n",
    "    I_vs_we.add(compare_we(freq_i, freq_we))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'++I': 4, '+we': 4, '===': 3, '++we': 5, '+I': 5}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "I_vs_we.get_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Domains of experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from math import pi\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# based on Andrade & Andersen, JSRM 2020, theory from Halliday 2004\n",
    "\n",
    "VERB_CLASSES = {\n",
    "    # sensing: four groups of verbs\n",
    "    \"verbal\": [ \"antwoorden\", \"beschrijven\", \"beloven\", \"noemen\", \"praten\", \"vertellen\", \"zeggen\" ],\n",
    "    \"mental\": [ \"bedoelen\", \"begrijpen\", \"besluiten\", \"betrekken\", \"concluderen\", \"denken\", \"kennen\", \"laten\", \"over_gaan\", \"vergeten\", \"verwachten\", \"weten\" ],\n",
    "    \"emotional\": [ \"bewonderen\", \"hopen\", \"missen\", \"vrezen\" ],\n",
    "    \"visual\": [ \"bekijken\", \"kijken\", \"merken\", \"vinden\", \"zien\" ],\n",
    "    # doing: two groups of verbs\n",
    "    \"material\": [ \"doen\", \"door_gaan\", \"door_werken\", \"gaan\", \"houden\", \"kunnen\", \"lopen\", \"mediteren\", \"nemen\", \n",
    "                  \"plukken\", \"reizen\", \"schrijven\", \"varen\", \"voelen\", \"werken\", \"zitten\" ],\n",
    "    \"expressional\": [ \"beslissen\", \"ervaren\", \"kiezen\", \"leren\", \"organiseren\", \"ontwerpen\", \"toe_staan\" ],\n",
    "    # being: two groups of verbs\n",
    "    \"existensional\": [ \"blijven\", \"horen\", \"komen\", \"leven\", \"mee_maken\", \"op_groeien\", \"op_lopen\", \"pensiëneren\", \"plaats_vinden\", \"staan\", \"sterven\", \"stoppen\", \n",
    "                       \"verdwijnen\", \"wennen\", \"willen\", \"wonen\", \"worden\", \"zijn\"],\n",
    "    \"relational\": [ \"delen\", \"geven\", \"hebben\", \"krijgen\", \"moeten\", \"raken\", \"trouwen\", \"verliezen\" ],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_radar_chart(labels, values, title=\"\"):\n",
    "    angles = [ i* 2 * pi / len(labels) for i in range(0, len(labels)+1) ]\n",
    "    labels.append(\"\")\n",
    "    values.append(values[0])\n",
    "    ax = plt.subplot(111, polar=True)\n",
    "    plt.xticks(angles, labels)\n",
    "    ax.plot(angles, values)\n",
    "    ax.fill(angles, values, 'teal', alpha=0.1)\n",
    "    ax.set_title(title)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_first_person_verbs(srl_table_df):\n",
    "    first_person_verbs = []\n",
    "    for i, row in srl_table_df.iterrows():\n",
    "        if row[\"Arg0\"] == \"ik\" or row[\"nsubj\"] == \"ik\":\n",
    "            if row[\"rel\"] != \"\":\n",
    "                first_person_verbs.append(row[\"rel\"])\n",
    "            elif row[\"head\"] != \"\":\n",
    "                first_person_verbs.append(row[\"head\"])\n",
    "    return first_person_verbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "def classify_verbs(verbs):\n",
    "    classified_verbs = { key: 0 for key in VERB_CLASSES }\n",
    "    missed_verbs = []\n",
    "    for verb in verbs:\n",
    "        found = False\n",
    "        for key in VERB_CLASSES:\n",
    "            if verb in VERB_CLASSES[key]:\n",
    "                classified_verbs[key] += 1\n",
    "                found = True\n",
    "                break\n",
    "        if not found and verb not in missed_verbs:\n",
    "            missed_verbs.append(verb)\n",
    "            print(f\"unknown verb: {verb}\")\n",
    "    return classified_verbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unknown verb: voort_leven\n",
      "unknown verb: Koos\n"
     ]
    }
   ],
   "source": [
    "verbs = get_first_person_verbs(all_srl_data)\n",
    "classified_verbs = classify_verbs(verbs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_radar_chart(list(classified_verbs.keys()), list(classified_verbs.values()), title=f\"Topics in all letter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'verbal': 12,\n",
       " 'mental': 26,\n",
       " 'emotional': 4,\n",
       " 'visual': 21,\n",
       " 'material': 45,\n",
       " 'expressional': 3,\n",
       " 'existensional': 46,\n",
       " 'relational': 13}"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classified_verbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>text</th>\n",
       "      <th>lemma</th>\n",
       "      <th>upos</th>\n",
       "      <th>xpos</th>\n",
       "      <th>feats</th>\n",
       "      <th>head</th>\n",
       "      <th>deprel</th>\n",
       "      <th>deps</th>\n",
       "      <th>misc</th>\n",
       "      <th>start_char</th>\n",
       "      <th>end_char</th>\n",
       "      <th>parent</th>\n",
       "      <th>sent</th>\n",
       "      <th>srl</th>\n",
       "      <th>frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Bericht</td>\n",
       "      <td>bericht</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|onz|stan</td>\n",
       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>uit</td>\n",
       "      <td>uit</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"uit\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>de</td>\n",
       "      <td>de</td>\n",
       "      <td>DET</td>\n",
       "      <td>LID|bep|stan|rest</td>\n",
       "      <td>Definite=Def</td>\n",
       "      <td>4</td>\n",
       "      <td>det</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"de\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>toekomst</td>\n",
       "      <td>toekomst</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|zijd|stan</td>\n",
       "      <td>Gender=Com|Number=Sing</td>\n",
       "      <td>1</td>\n",
       "      <td>nmod</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>[\\n  {\\n    \"id\": 4,\\n    \"text\": \"toekomst\",\\...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Bericht</td>\n",
       "      <td>bericht</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>N|soort|ev|basis|onz|stan</td>\n",
       "      <td>Gender=Neut|Number=Sing</td>\n",
       "      <td>4</td>\n",
       "      <td>appos</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>24</td>\n",
       "      <td>31</td>\n",
       "      <td>[\\n  {\\n    \"id\": 5,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Ik</td>\n",
       "      <td>ik</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|pers|pron|nomin|vol|1|ev</td>\n",
       "      <td>Case=Nom|Person=1|PronType=Prs</td>\n",
       "      <td>2</td>\n",
       "      <td>nsubj</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8714</td>\n",
       "      <td>8716</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>Arg0</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>hou</td>\n",
       "      <td>houden</td>\n",
       "      <td>VERB</td>\n",
       "      <td>WW|pv|tgw|ev</td>\n",
       "      <td>Number=Sing|Tense=Pres|VerbForm=Fin</td>\n",
       "      <td>0</td>\n",
       "      <td>root</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8717</td>\n",
       "      <td>8720</td>\n",
       "      <td>[\\n  {\\n    \"id\": 2,\\n    \"text\": \"hou\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>rel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>van</td>\n",
       "      <td>van</td>\n",
       "      <td>ADP</td>\n",
       "      <td>VZ|init</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>case</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8721</td>\n",
       "      <td>8724</td>\n",
       "      <td>[\\n  {\\n    \"id\": 3,\\n    \"text\": \"van\",\\n    ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>jullie</td>\n",
       "      <td>jullie</td>\n",
       "      <td>PRON</td>\n",
       "      <td>VNW|pers|pron|stan|nadr|2v|mv</td>\n",
       "      <td>Person=2|PronType=Prs</td>\n",
       "      <td>2</td>\n",
       "      <td>obl</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8725</td>\n",
       "      <td>8731</td>\n",
       "      <td>[\\n  {\\n    \"id\": 4,\\n    \"text\": \"jullie\",\\n ...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>Arg1</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "      <td>LET</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "      <td>punct</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>8731</td>\n",
       "      <td>8732</td>\n",
       "      <td>[\\n  {\\n    \"id\": 5,\\n    \"text\": \".\",\\n    \"l...</td>\n",
       "      <td>[\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...</td>\n",
       "      <td>_</td>\n",
       "      <td>_</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1669 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    id      text     lemma   upos                           xpos  \\\n",
       "0    1   Bericht   bericht   NOUN      N|soort|ev|basis|onz|stan   \n",
       "1    2       uit       uit    ADP                        VZ|init   \n",
       "2    3        de        de    DET              LID|bep|stan|rest   \n",
       "3    4  toekomst  toekomst   NOUN     N|soort|ev|basis|zijd|stan   \n",
       "4    5   Bericht   bericht   NOUN      N|soort|ev|basis|onz|stan   \n",
       "..  ..       ...       ...    ...                            ...   \n",
       "0    1        Ik        ik   PRON   VNW|pers|pron|nomin|vol|1|ev   \n",
       "1    2       hou    houden   VERB                   WW|pv|tgw|ev   \n",
       "2    3       van       van    ADP                        VZ|init   \n",
       "3    4    jullie    jullie   PRON  VNW|pers|pron|stan|nadr|2v|mv   \n",
       "4    5         .         .  PUNCT                            LET   \n",
       "\n",
       "                                  feats  head deprel  deps  misc  start_char  \\\n",
       "0               Gender=Neut|Number=Sing     0   root  None  None           0   \n",
       "1                                  None     4   case  None  None           8   \n",
       "2                          Definite=Def     4    det  None  None          12   \n",
       "3                Gender=Com|Number=Sing     1   nmod  None  None          15   \n",
       "4               Gender=Neut|Number=Sing     4  appos  None  None          24   \n",
       "..                                  ...   ...    ...   ...   ...         ...   \n",
       "0        Case=Nom|Person=1|PronType=Prs     2  nsubj  None  None        8714   \n",
       "1   Number=Sing|Tense=Pres|VerbForm=Fin     0   root  None  None        8717   \n",
       "2                                  None     4   case  None  None        8721   \n",
       "3                 Person=2|PronType=Prs     2    obl  None  None        8725   \n",
       "4                                  None     2  punct  None  None        8731   \n",
       "\n",
       "    end_char                                             parent  \\\n",
       "0          7  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...   \n",
       "1         11  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"uit\",\\n    ...   \n",
       "2         14  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"de\",\\n    \"...   \n",
       "3         23  [\\n  {\\n    \"id\": 4,\\n    \"text\": \"toekomst\",\\...   \n",
       "4         31  [\\n  {\\n    \"id\": 5,\\n    \"text\": \"Bericht\",\\n...   \n",
       "..       ...                                                ...   \n",
       "0       8716  [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...   \n",
       "1       8720  [\\n  {\\n    \"id\": 2,\\n    \"text\": \"hou\",\\n    ...   \n",
       "2       8724  [\\n  {\\n    \"id\": 3,\\n    \"text\": \"van\",\\n    ...   \n",
       "3       8731  [\\n  {\\n    \"id\": 4,\\n    \"text\": \"jullie\",\\n ...   \n",
       "4       8732  [\\n  {\\n    \"id\": 5,\\n    \"text\": \".\",\\n    \"l...   \n",
       "\n",
       "                                                 sent   srl frame  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...     _     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...     _     _  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...     _     _  \n",
       "3   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...     _     _  \n",
       "4   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Bericht\",\\n...     _     _  \n",
       "..                                                ...   ...   ...  \n",
       "0   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...  Arg0     _  \n",
       "1   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...     _   rel  \n",
       "2   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...     _     _  \n",
       "3   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...  Arg1     _  \n",
       "4   [\\n  {\\n    \"id\": 1,\\n    \"text\": \"Ik\",\\n    \"...     _     _  \n",
       "\n",
       "[1669 rows x 16 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nlp_table_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "text, nlp_table_df, srl_table_df = analyze_letter(14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bericht uit de toekomst Bericht uit de toekomst . Het is 2070 nu ik dit \u001b[1;34;47mvertel\u001b[m . Ik ben 95 . Niet dat ik ooit \u001b[1;34;47mgedacht\u001b[m had zo oud te worden , maar fijn dat ik dit kan \u001b[1;34;47mmeemaken\u001b[m en dat ik kan \u001b[1;34;47mvertellen\u001b[m over het nu en het vroeger . Onvoorstelbaar eigenlijk wat er is \u001b[1;31;47mveranderd\u001b[m nu . Als ik nu mijn raam uit \u001b[1;34;47mkijk\u001b[m , \u001b[1;34;47mkijk\u001b[m ik uit op jullie mijn achterkleinkinderen die buiten aan het \u001b[1;31;47mspelen\u001b[m zijn . Er \u001b[1;31;47mstraalt\u001b[m een rust van ze uit . Eigenlijk is het niet veel anders bij alle andere dagelijkse bezigheden die jullie \u001b[1;34;47mdoen\u001b[m , inclusief de wat we vroeger \u001b[1;34;47mnoemden\u001b[m de taken of klusjes in het huishouden . Het \u001b[1;34;47mhoort\u001b[m onvermijdelijk bij het leven . De conflicten \u001b[1;34;47mzijn\u001b[m er nog steeds , ook dat is een onvermijdelijkheid . Wanneer je zoveel mensen \u001b[1;34;47mhebt\u001b[m die een zo groot mogelijke vrijheid \u001b[1;34;47mhebben\u001b[m , dan is het iets dat er vanzelfsprekend bij het menselijk leven \u001b[1;34;47mhoort\u001b[m . Maar de basishouding van rust is toch wel iets wat me heel erg \u001b[1;34;47mraakt\u001b[m in deze tijd . Het \u001b[1;31;47mont-moeten\u001b[m in onze dagelijkse omgang met elkaar . Een voorbeeld , vijf jaar terug \u001b[1;34;47mdeed\u001b[m ik nog wat werk in de buurttuin , dat \u001b[1;34;47mkan\u001b[m ik niet meer . En voordat ik dat voor mezelf \u001b[1;34;47mbesloten\u001b[m had , was E. , een jongere vrouw op mij \u001b[1;31;47mafgestapt\u001b[m en \u001b[1;34;47mgezegd\u001b[m : misschien \u001b[1;34;47mwil\u001b[m je ons ergens anders bij \u001b[1;31;47mhelpen\u001b[m ? Het \u001b[1;31;47mdrong\u001b[m gisteren pas bij me door hoe bijzonder die vraag was en met hoeveel gemak ik van de ene activiteit naar de andere was \u001b[1;34;47movergegaan\u001b[m . De hele idee van werk naar vermogen \u001b[1;34;47mhad\u001b[m een andere betekenis in mijn jeugd . Ik had de hele tijd het gevoel meer te moeten \u001b[1;34;47mdoen\u001b[m , om als volwaardig \u001b[1;34;47mgezien\u001b[m te worden . Ondanks mijn gehoor beperkingen en verlies van zicht , die ik nog steeds heb , is de kijk erop wel \u001b[1;31;47mveranderd\u001b[m . En de idee dat ouderen nog een bijdrage kunnen \u001b[1;31;47mleveren\u001b[m aan de wereld om hen heen , was vroeger toch ook wel anders . Was je 67 , dan \u001b[1;34;47mging\u001b[m je met pensioen . Ik \u001b[1;34;47mmerk\u001b[m dat ik er wel bij \u001b[1;34;47mvaar\u001b[m , de idee van niet \u001b[1;34;47mmoeten\u001b[m . Daarom \u001b[1;34;47mkijk\u001b[m ik graag naar jullie . Dat \u001b[1;34;47mwil\u001b[m \u001b[1;34;47mzeggen\u001b[m .... ik \u001b[1;34;47mkijk\u001b[m in jullie richting en \u001b[1;34;47mvoel\u001b[m de rust in jullie samenspel en ik \u001b[1;34;47mhoor\u001b[m de rust . En zelfs al is er een conflict tussen jullie , zoals nu ook op de achtergrond voelbaar en merkbaar is , is het \u001b[1;31;47mgeruststellend\u001b[m te \u001b[1;34;47mweten\u001b[m dat jullie er ook deze keer uit \u001b[1;34;47mgaan\u001b[m \u001b[1;34;47mkomen\u001b[m . Hoe ik dat \u001b[1;34;47mweet\u001b[m ? omdat jullie elkaar \u001b[1;34;47mblijven\u001b[m \u001b[1;31;47mopzoeken\u001b[m en verbinding \u001b[1;34;47mblijven\u001b[m \u001b[1;31;47mzoeken\u001b[m . \u001b[1;34;47mKijk\u001b[m ik naar de wereld en de omgang met de aarde , \u001b[1;34;47mzie\u001b[m ik dat we op de goede weg zijn . Dit \u001b[1;31;47mkost\u001b[m veel meer moeite , dan veranderingen in ons dagelijkse bestaan . We hebben in het oosten van het vroegere Nederland vele mensen uit het vroegere west Nederland \u001b[1;31;47mopgevangen\u001b[m , wat \u001b[1;31;47mteruggegeven\u001b[m is aan de zee . De landsgrenzen van nu zijn te \u001b[1;31;47mherleiden\u001b[m van vroegere ideeën over natie-staten . We \u001b[1;34;47mkennen\u001b[m nog steeds landsgrenzen maar ook dat \u001b[1;34;47mwerkt\u001b[m toch anders dan vroeger . Landen die we vroeger \u001b[1;34;47mzagen\u001b[m als minderwaardig , of lage-lonen landen , waar de productie \u001b[1;31;47mplaatsvond\u001b[m van al die producten die we \u001b[1;34;47mdachten\u001b[m nodig te \u001b[1;34;47mhebben\u001b[m hier . Het \u001b[1;31;47mont-moeten\u001b[m heeft ook hier impact \u001b[1;34;47mgehad\u001b[m , maar het pad naar volledige gelijkwaardigheid en het even serieus \u001b[1;34;47mnemen\u001b[m van mensenrechten elders in de wereld als thuis \u001b[1;31;47mkost\u001b[m ons de nodige verbeeldingskracht . Toen E. , de jonge vrouw die ik eerder \u001b[1;34;47mnoemde\u001b[m , \u001b[1;31;47mopperde\u001b[m dat ik ook iets anders zou kunnen \u001b[1;34;47mdoen\u001b[m , was een van de mogelijkheden in het denkberaad die zich met dit soort vragen bezig \u001b[1;34;47mhoudt\u001b[m . Ik \u001b[1;34;47mzit\u001b[m in een een denkberaad met mensen van verschillende leeftijden en landen en leer daar zelf ongelooflijk veel van . Toen het stof was \u001b[1;31;47mneergedaald\u001b[m van de Coronacrisis eind 2023 \u001b[1;34;47mwerd\u001b[m voor een \u001b[1;31;47mgroeiende\u001b[m groep mensen duidelijk in het westen , dat er minder spullen nodig waren in ons menselijk leven . Sterker nog , dat besef \u001b[1;31;47mvertaalde\u001b[m zich niet zozeer in moeten van ont- spullen , maar het simpelweg \u001b[1;31;47mweglaten\u001b[m van de dingen die helemaal niet nodig waren \u001b[1;31;47mgebleken\u001b[m . Hetzelfde \u001b[1;31;47mgold\u001b[m voor werk . Veel van het werk dat er was te \u001b[1;31;47mverdelen\u001b[m , \u001b[1;34;47mging\u001b[m uit van meer consumptie . Mensen werd niet langer \u001b[1;34;47mverteld\u001b[m dat het beter is voor de gemoedsrust om minder te \u001b[1;31;47mconsumeren\u001b[m , zij hadden het zelf \u001b[1;34;47mervaren\u001b[m . Alleen dit \u001b[1;34;47mhad\u001b[m niet alleen consequenties voor onszelf . De hele keten van gebruik van grondstoffen , \u001b[1;31;47mproduceren\u001b[m en consumptie moest verandering \u001b[1;31;47mondergaan\u001b[m . En dit \u001b[1;34;47mging\u001b[m niet zonder slag of \u001b[1;31;47mstoot\u001b[m . Mensen \u001b[1;34;47mvoelden\u001b[m zich schuldig dat ze in de lage-lonen landen veel minder inkomsten \u001b[1;34;47mhadden\u001b[m , maar tegelijkertijd was het ook nodig om op de eigen portemonnee te \u001b[1;31;47mletten\u001b[m . Ook de verschillen tussen mensen in bijvoorbeeld het vroegere Nederland en Duitsland werden pijnlijk merkbaar . En met het \u001b[1;31;47mveranderen\u001b[m van opvattingen over werk , mensen moesten zich \u001b[1;31;47mafvragen\u001b[m of zij een cruciaal beroep \u001b[1;34;47mhadden\u001b[m , en men had \u001b[1;34;47mervaren\u001b[m dat de combinatie van werk en zorg voor de kinderen en het huishouden toch wel erg \u001b[1;31;47mgejaagd\u001b[m was . Maar ook \u001b[1;31;47mbleek\u001b[m dat het met rust naar je kinderen kunnen \u001b[1;34;47mkijken\u001b[m , \u001b[1;31;47mvraagt\u001b[m om minder drukte en gejaagdheid . Met het \u001b[1;31;47mwegvallen\u001b[m van \u001b[1;31;47mbepaalde\u001b[m ' moeten ' , \u001b[1;31;47mbleken\u001b[m ineens dingen mogelijk die dat vroeger niet waren . Een andere verschuiving heeft te \u001b[1;31;47mmaken\u001b[m met het onderwijs . Aanvankelijk \u001b[1;34;47mdachten\u001b[m de mensen aan achterstanden in het onderwijs , maar vanaf 2030 zo ongeveer werd de hele idee van achterstanden onder de loep \u001b[1;31;47mgelegd\u001b[m . Achterstanden van wat en voor wie ? En wat \u001b[1;31;47mbleek\u001b[m ? Op deze manier \u001b[1;34;47mgaven\u001b[m we \u001b[1;31;47mverschillen\u001b[m tussen mensen een label , een etiket die \u001b[1;31;47mbepaalde\u001b[m wat jouw plek in de wereld was en \u001b[1;31;47mbepaalde\u001b[m dat als jij minder hoog onderwijs had \u001b[1;31;47mgenoten\u001b[m , \u001b[1;31;47mbeperkte\u001b[m rechten \u001b[1;34;47mhad\u001b[m wat \u001b[1;31;47mbetreft\u001b[m je salaris . Eigenlijk is het pas in de laatste tien jaar duidelijker \u001b[1;34;47mgeworden\u001b[m dat wat we \u001b[1;34;47mzagen\u001b[m als lage-lonen landen , ook zonder ons ontwikkelingen hebben \u001b[1;31;47mdoorgemaakt\u001b[m en opstand hebben \u001b[1;31;47mgevoed\u001b[m . Waarom zouden hun grondstoffen en kennis minderwaardig zijn ? En daar \u001b[1;31;47mligt\u001b[m nog veel oud zeer , dingen waar we in het westen ons ook toe moeten \u001b[1;34;47mleren\u001b[m \u001b[1;31;47mverhouden\u001b[m . In het denkberaad \u001b[1;34;47mkomen\u001b[m we tot steeds vindingrijkere oplossingen . Oplossingen die niet zozeer ons gemoed moeten \u001b[1;31;47msussen\u001b[m , van we \u001b[1;31;47mbieden\u001b[m zo wel genoeg hulp . Maar oplossingen die de wederkerigheid op de voorgrond \u001b[1;31;47mplaatsen\u001b[m . En \u001b[1;31;47mblijkt\u001b[m telkens wat wij van de andere tradities kunnen \u001b[1;34;47mleren\u001b[m en dat wij deze tradities hebben tekort \u001b[1;34;47mgedaan\u001b[m . En misschien nog wel belangrijker , is dat we met het moderne \u001b[1;34;47mdenken\u001b[m onszelf op een aantal vlakken tekort hebben \u001b[1;34;47mgedaan\u001b[m . Op het gebied van wetenschap heeft er een verschuiving \u001b[1;34;47mplaatsgevonden\u001b[m van verlenging van leven en preventie van ziekten en beperkingen naar kwaliteit van leven . Door de toename aan vrije tijd omdat we het werk anders \u001b[1;31;47mverdelen\u001b[m over de mensen , meer naar vermogen , zijn de kunst omen de filosofie \u001b[1;34;47mgaan\u001b[m \u001b[1;31;47mbloeien\u001b[m . En ook de wetenschap is meer breed qua oriëntatie \u001b[1;34;47mgeworden\u001b[m . Vroeger \u001b[1;34;47mdacht\u001b[m men meer in disciplines en nu meer in behoeften en toekomstige wensen en dan \u001b[1;34;47mgaat\u001b[m men de \u001b[1;31;47mbenodigde\u001b[m kennis \u001b[1;31;47mverzamelen\u001b[m via meerdere invalshoeken . Oh ja , dat is iets wat me \u001b[1;31;47mopvalt\u001b[m als ik naar mijn achterkleinkinderen \u001b[1;34;47mkijk\u001b[m en vroeger naar mijn kleinkinderen . Dan \u001b[1;34;47mzie\u001b[m ik dat het \u001b[1;34;47mvertellen\u001b[m van verhalen aan elkaar veel belangrijker is dan vroeger . Het geduld waarmee het publiek \u001b[1;31;47mluistert\u001b[m . En dat \u001b[1;34;47mzie\u001b[m ik ook terug bij de volwassenen .. . We zijn het \u001b[1;31;47mluisteren\u001b[m naar elkaar meer \u001b[1;34;47mgaan\u001b[m \u001b[1;31;47mwaarderen\u001b[m . Daardoor \u001b[1;34;47mzie\u001b[m ik dat jong-volwassenen die soms \u001b[1;31;47mworstelen\u001b[m met wie ze zijn en wie ze \u001b[1;34;47mwillen\u001b[m worden , \u001b[1;31;47mopbloeien\u001b[m . Simpelweg omdat ze \u001b[1;34;47mgezien\u001b[m worden en mogen \u001b[1;34;47mvertellen\u001b[m . Ik \u001b[1;34;47mdenk\u001b[m dat dat te \u001b[1;31;47mmaken\u001b[m \u001b[1;34;47mheeft\u001b[m met dat de ouders meer rust \u001b[1;34;47mhebben\u001b[m . Daar \u001b[1;34;47mheb\u001b[m je het weer . Ouders moeten minder dan vroeger en dat \u001b[1;34;47mgeeft\u001b[m ze ruimte om te \u001b[1;31;47mluisteren\u001b[m en als je die ruimte zelf \u001b[1;34;47mervaart\u001b[m , \u001b[1;34;47mgeef\u001b[m je dat door . Lieve achterkleinkinderen , kleinkinderen en kinderen , ik \u001b[1;34;47mhoop\u001b[m dat jullie net zo veel \u001b[1;34;47mleren\u001b[m van andere tradities als ik en dat het \u001b[1;31;47mlukt\u001b[m om niet meer terug te \u001b[1;31;47mvallen\u001b[m in destructieve gewoonten . Na de wereldoorlogen die in de negentiende eeuw hebben \u001b[1;34;47mplaatsgevonden\u001b[m \u001b[1;34;47mdacht\u001b[m men , nooit weer en toch voor de corona epidemie \u001b[1;31;47mklonken\u001b[m steeds vaker geluiden van eigen volk eerst . Het was eigenlijk een steeds mindere leuke wereld aan het \u001b[1;34;47mworden\u001b[m . En met ongeloof \u001b[1;31;47mkeken\u001b[m we hoe een president van Amerika aan de macht kon \u001b[1;34;47mblijven\u001b[m en zo'n grote achterban \u001b[1;34;47mhad\u001b[m . Je kunt het zo gek niet \u001b[1;31;47mbedenken\u001b[m of hij \u001b[1;34;47mdeed\u001b[m het en als je \u001b[1;34;47mdacht\u001b[m nou \u001b[1;34;47mkomen\u001b[m de mensen in opstand , dan \u001b[1;31;47mgebeurde\u001b[m dat niet . Tenminste niet genoeg om de man in te \u001b[1;31;47mruilen\u001b[m tot een menselijker leider . Dus \u001b[1;34;47mweet\u001b[m , in elk conflict en opstand \u001b[1;31;47mschuilt\u001b[m een wijsheid , die ons allemaal tot betere mensen \u001b[1;31;47mmaakt\u001b[m . Conflicten , onenigheid en opstand \u001b[1;34;47mhoren\u001b[m erbij . Ik \u001b[1;34;47mhoor\u001b[m soms mensen \u001b[1;34;47mzeggen\u001b[m . \" Dat is toch niet meer nodig ! \" Maar ik \u001b[1;34;47mzeg\u001b[m , \u001b[1;31;47mverander\u001b[m die stelligheid met een vraag . \" Waarom is dit nodig ? Wat \u001b[1;34;47mvertelt\u001b[m ons dit ? \" . Zo \u001b[1;34;47mvoel\u001b[m ik ook dat mijn lijf steeds meer \u001b[1;31;47mbegint\u001b[m te \u001b[1;31;47msputteren\u001b[m en \u001b[1;34;47mzegt\u001b[m . Het is mooi geweest , het einde is voor mij nabij . Maar heerlijk om te \u001b[1;34;47mweten\u001b[m dat ik \u001b[1;31;47mvoortleef\u001b[m in jullie , stuk voor stuk mooie mensen die het in zich \u001b[1;34;47mhebben\u001b[m te \u001b[1;34;47mleren\u001b[m , ook van minder wenselijke tendensen , kwade gedachten en conflicten en in opstand te \u001b[1;34;47mkomen\u001b[m als nodig , Dat is ontzettend waardevol . Ik \u001b[1;34;47mhou\u001b[m van jullie . "
     ]
    }
   ],
   "source": [
    "RED = 1\n",
    "BLUE = 4\n",
    "\n",
    "\n",
    "def verb_is_known(verb):\n",
    "    for verb_class in VERB_CLASSES:\n",
    "        if verb in VERB_CLASSES[verb_class]:\n",
    "            return True\n",
    "    return False\n",
    "\n",
    "\n",
    "def print_with_color(string, color_code):\n",
    "    print(f\"\\x1b[1;3{color_code};47m{string}\\x1b[m\", end=\"\")\n",
    "\n",
    "\n",
    "for i, row in nlp_table_df.iterrows():\n",
    "    if row[\"upos\"] == \"VERB\":\n",
    "        if verb_is_known(row[\"lemma\"]):\n",
    "            print_with_color(row[\"text\"], BLUE)\n",
    "        else:\n",
    "            print_with_color(row[\"text\"], RED)\n",
    "        print(\" \", end=\"\")\n",
    "    else:\n",
    "        print(row[\"text\"], end=\" \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. Evaluation of semantic role labeling\n",
    "\n",
    "Context: in the [evaluation of Stroll](https://github.com/Filter-Bubble/stroll#Roles), the Dutch tool for semantic role labeling, the performance on words out of the roles is also included, which results in an inflation of the scores. Here we compute the performance without considering the non-role words. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = {\n",
    "    \"Arg0\": { \"precision\": 0.83, \"recall\": 0.91, \"f1-score\": 0.87, \"support\": 1814 },\n",
    "    \"Arg1\": { \"precision\": 0.84, \"recall\": 0.83, \"f1-score\": 0.83, \"support\": 3138 },\n",
    "    \"Arg2\": { \"precision\": 0.51, \"recall\": 0.49, \"f1-score\": 0.50, \"support\": 707 },\n",
    "    \"Arg3\": { \"precision\": 0.56, \"recall\": 0.08, \"f1-score\": 0.14, \"support\": 65 },\n",
    "    \"Arg4\": { \"precision\": 0.55, \"recall\": 0.51, \"f1-score\": 0.53, \"support\": 55 },\n",
    "    \"ArgM-ADV\": { \"precision\": 0.62, \"recall\": 0.59, \"f1-score\": 0.60, \"support\": 528 },\n",
    "    \"ArgM-CAU\": { \"precision\": 0.67, \"recall\": 0.56, \"f1-score\": 0.61, \"support\": 170 },\n",
    "    \"ArgM-DIR\": { \"precision\": 0.44, \"recall\": 0.52, \"f1-score\": 0.48, \"support\": 58 },\n",
    "    \"ArgM-DIS\": { \"precision\": 0.87, \"recall\": 0.59, \"f1-score\": 0.71, \"support\": 543 },\n",
    "    \"ArgM-EXT\": { \"precision\": 0.50, \"recall\": 0.54, \"f1-score\": 0.52, \"support\": 87 },\n",
    "    \"ArgM-LOC\": { \"precision\": 0.66, \"recall\": 0.77, \"f1-score\": 0.71, \"support\": 676 },\n",
    "    \"ArgM-MNR\": { \"precision\": 0.61, \"recall\": 0.61, \"f1-score\": 0.61, \"support\": 516 },\n",
    "    \"ArgM-MOD\": { \"precision\": 0.92, \"recall\": 0.91, \"f1-score\": 0.91, \"support\": 656 },\n",
    "    \"ArgM-NEG\": { \"precision\": 0.90, \"recall\": 0.91, \"f1-score\": 0.91, \"support\": 291 },\n",
    "    \"ArgM-PNC\": { \"precision\": 0.68, \"recall\": 0.66, \"f1-score\": 0.67, \"support\": 181 },\n",
    "    \"ArgM-PRD\": { \"precision\": 0.67, \"recall\": 0.55, \"f1-score\": 0.61, \"support\": 134 },\n",
    "    \"ArgM-REC\": { \"precision\": 0.94, \"recall\": 0.96, \"f1-score\": 0.95, \"support\": 109 },\n",
    "    \"ArgM-TMP\": { \"precision\": 0.84, \"recall\": 0.83, \"f1-score\": 0.83, \"support\": 1044 },\n",
    "    \"_\": { \"precision\": 0.99, \"recall\": 0.99, \"f1-score\": 0.99, \"support\": 38707 },\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate(results):\n",
    "    correct, support = 0, 0\n",
    "    for arg in results:\n",
    "        correct += round(results[arg][\"support\"] * results[arg][\"recall\"])\n",
    "        support += results[arg][\"support\"]\n",
    "    print(f\"accuracy/precision/recall/F1 = {round(100 * correct / support, 1)}%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evaluate all results including words that are not part of a role (the [Stroll web page](https://github.com/Filter-Bubble/stroll#Roles) mentions a score of 94%):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy/precision/recall/F1 = 94.2%\n"
     ]
    }
   ],
   "source": [
    "evaluate(results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evaluate using only words that appear in roles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy/precision/recall/F1 = 77.1%\n"
     ]
    }
   ],
   "source": [
    "evaluate({ arg: results[arg] for arg in results if arg !=\"_\" })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. Suggestions for future work\n",
    "\n",
    "1. Semantic Role Labeling is verb-based. Can we extract other information from the linguistic analysis that is non-verb-based?\n",
    "1. Semantic Role Labeling is sentence-based. How do we obtain paragraph-based or story-based analysis?\n",
    "1. The narrative topic analysis is interesting. We should expand the list of relevant verbs (and it should be checked).\n",
    "1. LIWC analysis is quite similar to narraive topic analysis. It would be interesting to apply LIWC to our data.\n",
    "1. Text comprehension work in the computational linguistics field looks similar to this work. It involves testing systems with QA tasks.\n",
    "1. Summarization in combination with text entailment could also be useful for extracting ideas and concepts from the texts.\n",
    "1. Co-reference resolution can be used for finding out who are referred to with pronouns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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