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cs224n's Introduction

CS224N 자연어처리 2021 겨울학기 공부 노트

성균관대학교 컴퓨터교육과 학생들의 2022년 겨울 자연어 처리 스터디 입니다. 최신 버전 (2021 Winter)로 진행하였습니다.

참여자

Lecture Note

강의 (Youtube) 담당자 노트 작성일
Lecture 1 - Introduction and Word Vectors 최지원 Link 2022.01.05
Lecture 2 - Neural Classifiers 최지원 Link 2022.01.05
Lecture 3 - Backprop and Neural Networks 김보민 Link 2022.01.12
Lecture 4 - Dependency Parsing 정소연 Link 2022.01.12
Lecture 5 - Language Models and RNNs 최재석 Link 2022.01.19
Lecture 6 - Simple and LSTM RNNs 신동수 Link 2022.01.19
Lecture 7 - Translation, Seq2Seq, Attention 하유진 Link 2022.01.26
Lecture 8 - Final Projects; Practical Tips Skip
Lecture 9 - Self- Attention and Transformers 김준영 Link 2022.01.26
Lecture 10 - Transformers and Pretraining 최지원 Link 2022.02.02
Lecture 11 - Question Answering 장지원 Link 2022.02.02
Lecture 12 - Natural Language Generation 김준영 Link 2022.02.09
Lecture 13 - Coreference Resolution 신동수 Link 2022.02.09
Lecture 14 - T5 and Large Language Models 최재석 Link 2022.02.16
Lecture 15 - Add Knowledge to Language Models 정소연 Link 2022.02.16
Lecture 16 - Social & Ethical Considerations Skip
Lecture 17 - Model Analysis and Explanation 하유진 Link 2022.02.23
Lecture 18 - Future of NLP + Deep Learning 최지원 Link 2022.02.23
Lecture 19 - Low Resource Machine Translation 김보민 Link 2022.03.02
Lecture 20 - BERT and Other Pre-trained Language Models 장지원 Link 2022.03.02

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