Update metadata from Papers with Code

acl-org · Jan 18, 2024 · f162b46 · f162b46
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diff --git a/data/xml/2020.blackboxnlp.xml b/data/xml/2020.blackboxnlp.xml
@@ -238,6 +238,7 @@
       <attachment type="OptionalSupplementaryMaterial" hash="3574294b">2020.blackboxnlp-1.17.OptionalSupplementaryMaterial.zip</attachment>
       <doi>10.18653/v1/2020.blackboxnlp-1.17</doi>
       <bibkey>singh-etal-2020-bertnesia</bibkey>
+      <pwccode url="https://github.com/jwallat/knowledge-probing" additional="false">jwallat/knowledge-probing</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/lama">LAMA</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/ms-marco">MS MARCO</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/t-rex">T-REx</pwcdataset>

diff --git a/data/xml/2020.coling.xml b/data/xml/2020.coling.xml
@@ -634,6 +634,7 @@
       <url hash="5324c7e4">2020.coling-main.47</url>
       <doi>10.18653/v1/2020.coling-main.47</doi>
       <bibkey>lu-etal-2020-exploiting</bibkey>
+      <pwccode url="https://github.com/qiuhaolu/mrgae" additional="false">qiuhaolu/mrgae</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/pubmed">Pubmed</pwcdataset>
     </paper>
     <paper id="48">

diff --git a/data/xml/2020.emnlp.xml b/data/xml/2020.emnlp.xml
@@ -753,6 +753,7 @@
       <doi>10.18653/v1/2020.emnlp-main.48</doi>
       <video href="https://slideslive.com/38939338"/>
       <bibkey>forbes-etal-2020-social</bibkey>
+      <pwccode url="" additional="true"/>
       <pwcdataset url="https://paperswithcode.com/dataset/ethics-1">ETHICS</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/rocstories">ROCStories</pwcdataset>
     </paper>

diff --git a/data/xml/2021.emnlp.xml b/data/xml/2021.emnlp.xml
@@ -3180,7 +3180,6 @@
       <bibkey>yang-etal-2021-syntactically</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.203</doi>
       <video href="2021.emnlp-main.203.mp4"/>
-      <pwccode url="https://github.com/lanse-sir/sup" additional="false">lanse-sir/sup</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/sst">SST</pwcdataset>
     </paper>
     <paper id="204">

diff --git a/data/xml/2022.politicalnlp.xml b/data/xml/2022.politicalnlp.xml
@@ -130,6 +130,7 @@
       <abstract>The TCPD-IPD dataset is a collection of questions and answers discussed in the Lower House of the Parliament of India during the Question Hour between 1999 and 2019. Although it is difficult to analyze such a huge collection manually, modern text analysis tools can provide a powerful means to navigate it. In this paper, we perform an exploratory analysis of the dataset. In particular, we present insightful corpus-level statistics and perform a more detailed analysis of three subsets of the dataset. In the latter analysis, the focus is on understanding the temporal evolution of topics using a dynamic topic model. We observe that the parliamentary conversation indeed mirrors the political and socio-economic tensions of each period.</abstract>
       <url hash="712e6c6d">2022.politicalnlp-1.10</url>
       <bibkey>adhya-sanyal-2022-indian</bibkey>
+      <pwccode url="https://github.com/AdhyaSuman/Indian_Parliament_QnA" additional="false">AdhyaSuman/Indian_Parliament_QnA</pwccode>
     </paper>
     <paper id="11">
       <title>Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations</title>