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1. NLP Seminar Curriculum

Date Topic Presenters Slides
20200925 Lecture 1 – Introduction and Word Vectors 이유민 .
20201004 Lecture 2 – Word Vectors and Word Senses 오창대 Slide
20201010 Lecture 3 – Word Window Classification, Neural Networks, and Matrix Calculus 안재현 Slide
20201030 Lecture 4 – Backpropagation and Computation Graphs 문혜현 Slide
20201113 Lecture 5 – Linguistic Structure: Dependency Parsing 이유민 Slide
20201130 Lecture 6 – Language Models and RNNs 문혜현 Slide
20201226 Lecture 7 – Vanishing Gradients, Fancy RNNs 강창구 Slide
20210102 Lecture 8 – Translation, Seq2Seq, Attention 오창대 Slide
20210110 Lecture 10 – Question Answering 이유민 Slide
20210116 Lecture 11 – Convolutional Networks for NLP 오창대 Slide
20210123 Lecture 12 – Subword Models 문혜현 Slide
20210130 Lecture 13 – Contextual Word Embeddings 강창구 Slide
20210210 Lecture 14 – Transformers and Self-Attention 이유민 Slide
20210215 Lecture 15 – Natural Language Generation 오창대 Slide
20210220 Lecture 18 – Constituency Parsing, TreeRNNs 문혜현 Slide

2. Contributors

이유민 오창대 강창구 문혜현

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Stanford CS224N : NLP with Deep Learning Seminar

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