NLP bootcamp (1st, 18.10.13 ~ 18.12.22)

모두의연구소 flipped school 과정 중 하나인 NLP bootcamp에서 발표한 paper 목록과 그 자료들입니다.

• participant : 강재욱, 권성은, 김경환, 김동화, 김민섭, 김수정, 김승일, 모경현, 박정배, 박희경, 염혜원, 원종국, 윤훈상, 이명재, 이승재, 이일구, 이현준, 정미연, 최우정, 조주현
• faciliator : 김보섭

Schedule

아래의 논문 순서를 따라 읽으실 뿐들은 "A Neural Conversational Model"은 꼭 읽지않아도 되며, "Convolutional Sequence to Sequence Learning"의 경우, week06에 해당하는 paper를 다 읽고 읽으시는 게 좋습니다. 다시 말하자면, week05와 week06만 순서를 바꿔 읽으시면 됩니다.

Week01 (18/10/06)

Orientation

Week02 (18/10/13)

• Convolutional Neural Networks for Sentence Classification
  • Presenter : 최우정
  • Paper : https://arxiv.org/abs/1408.5882
  • Material : Convolutional Neural Networks for Sentence Classification_최우정.pdf
• Character-level Convolutional Networks for Text Classification
  • Presenter : 박정배
  • Paper : https://arxiv.org/abs/1509.01626
  • Material : Character-level convolutional networks for text classification_박정배.pdf

Week03 (18/10/20)

• Character-Aware Neural Language Models
  • Presenter : 이일구
  • Paper : https://arxiv.org/abs/1508.06615
  • Material : Character-Aware Neural Language Models_이일구.pdf
• A Convolutional Neural Network for Modelling Sentences
  • Presenter : 윤훈상
  • Paper : https://arxiv.org/abs/1404.2188
  • Material : A Convolutional Neural Network for Modelling Sentences_윤훈상.pdf

Week04 (18/10/27)

• Learning Phrase Representation using RNN Encoder-Decoder for Statistical Machine Translation
  • Presenter : 염혜원
  • Paper : https://arxiv.org/abs/1406.1078
  • Material : Learning Phrase Representation using RNN Encoder-Decoder for Statistical Machine Translation_염혜정.pdf
• Sequence to Sequence Learning with Neural Networks
  • Presenter : 권성은
  • Paper : https://arxiv.org/abs/1409.3215
  • Material : Sequence to Sequence Learning with Neural Networks_권성은.pdf

Week05 (18/11/03)

• A Neural Conversational Model
  • Presenter : 원종국
  • Paper : https://arxiv.org/abs/1506.05869
  • Material : A Neural Conversational Model_원종국.pdf
• Convolutional Sequence to Sequence Learning
  • Presenter : 모경현
  • Paper : https://arxiv.org/abs/1705.03122
  • Material : Convolutional Sequence to Sequence Learning_모경현.pdf

Week06 (18/11/10)

• Neural Machine Translation by Jointly Learning to Align and Translate
  • Presenter : 박희경
  • Paper : https://arxiv.org/abs/1409.0473
  • Material : Neural Machine Translation by Jointly Learning to Align and Translate_박희경.pdf
• Effective Approaches to Attention-based Neural Machine Translation
  • Presenter : 김보섭
  • Paper : https://arxiv.org/abs/1508.04025
  • Material : Effective Approaches to Attention-based Neural Machine Translation_김보섭.pdf

Week07 (18/11/17)

• A Structured Self-attentive Sentence Embedding
  • Presenter : 정미연
  • Paper : https://arxiv.org/abs/1703.03130
  • Material : A Structured Self-attentive Sentence Embedding_정미연.pdf
• Attention is All You Need
  • Presenter : 이승재
  • Paper : https://arxiv.org/abs/1706.03762
  • Material : Attention is All You Need_이승재.pdf

Week08 (18/11/24)

• Show and Tell: A Neural Image Caption Generator
  • Presenter : 김경환
  • Paper : https://arxiv.org/abs/1411.4555
  • Material : Show and Tell_A Neural Image Caption Generator_김경환.pdf
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  • Presenter : 이현준
  • Paper : https://arxiv.org/abs/1502.03044
  • Material : Show, Attend and Tell_Neural Image Caption Generation with Visual Attention_이현준.pdf

Week09 (18/12/01)

• Memory Networks
  • Presenter : 이명재
  • Paper : https://arxiv.org/abs/1410.3916
  • Material : Memory Networks_이명재.pdf
• End-To-End Memory Networks
  • Presenter : 조주현
  • Paper : https://arxiv.org/abs/1503.08895
  • Material : End-To-End Memory Networks_조주현.pdf

Week10 (18/12/08)

• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  • Presenter : 김승일
  • Paper : https://arxiv.org/abs/1506.07285
  • Material : Ask Me Anything_Dynamic Memory Networks for Natural Language Processing_김승일.pdf
• Enriching Word Vectors with Subword Information
  • Presenter : 김보섭
  • Paper : https://arxiv.org/abs/1607.04606
  • Material : Enriching Word Vectors with Subword Information_김보섭.pdf

Week11 (18/12/15)

졸업식

Week12 (18/12/22)

• Deep contextualized word representations
  • Presenter : 김보섭
  • Paper : https://arxiv.org/abs/1802.05365
  • Material : Deep contextualized word representations_김보섭.pdf
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • Presenter : 김동화
  • Paper : https://arxiv.org/abs/1810.04805
  • Material : BERT_Pre-training of Deep Bidirectional Transformers for Language Understanding_김동화.pdf