CUAI-CAU / NLPStudy_2022

2022년 CUAI 5기 NLP 논문 구현 Study Repository입니다.

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NLPStudy_2022

This is the Repository for CUAI 5th NLP Papers Implementation Study.

Member

😻 Gyeongbin Bak(박경빈) - Computer Science and Engineering
😀 Juhyeon Lee(이주현) - French Literature (double majoring Applied Statistics)
🙃 Heejae Suh(서희재) - Computer Science and Engineering

Progress

DATE SUBJECT CONTENT
03.18.22 Decide Papers to Read
03.25.22 Reading First Paper Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (https://arxiv.org/pdf/1406.1078.pdf)
04.01.22 Implementation(1) practice code 1 : https://github.com/bentrevett/pytorch-seq2seq.git
practice code reference : https://codlingual.tistory.com/91
seq2seq reference(TensorFlow) : https://wikidocs.net/24996
04.08.22 Implementation(2) practice code 2 : https://tutorials.pytorch.kr/intermediate/seq2seq_translation_tutorial.html#id5
04.29.22 Reading Second Paper Attention Is All You Need (https://arxiv.org/abs/1706.03762)
05.06.22 Paper Review
05.13.22 Reading Third Paper BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding(https://arxiv.org/abs/1810.04805)
05.20.22 BERT Implementation practice code : https://github.com/codertimo/BERT-pytorch

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2022년 CUAI 5기 NLP 논문 구현 Study Repository입니다.


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