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acl2019-stack.md

★: Best paper award nominees http://www.acl2019.org/EN/nominations-for-acl-2019-best-paper-awards.xhtml

よさそう

  • ★ We need to talk about standard splits: 前ざっと読んだ
  • ★ Towards Near-imperceptible Steganographic Text: 「透かし」について
  • ★ Detecting Concealed Information in Text and Speech
  • ★ Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
  • ★ Scalable Syntax-Aware Language Models Using Knowledge Distillation
  • ★ Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
  • Generalized Data Augmentation for Low-Resource Translation
  • BERT Rediscovers the Classical NLP Pipeline

モデルの理解

  • Towards Understanding Linear Word Analogies: 分散表現のアナロジーの理解（1）
  • Understanding Undesirable Word Embedding Associations: 分散表現のアナロジーの理解（2）
  • How Multilingual is Multilingual BERT?

Mitigating Biases

  • ★ The Risk of Racial Bias in Hate Speech Detection
  • Bias Analysis and Mitigation in the Evaluation of Authorship Verification
  • Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing
  • Gender-preserving Debiasing for Pre-trained Word Embeddings
  • Evaluating Gender Bias in Machine Translation
  • Mitigating Gender Bias in Natural Language Processing: Literature Review
  • Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

生成・要約・文体変換

  • ★ A Simple Theoretical Model of Importance for Summarization
  • HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization.
  • Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation: 潜在表現なしの文体変換
  • HighRES: Highlight-based Reference-less Evaluation of Summarization: ハイライト箇所を用いた要約の評価手法
  • Sentence Centrality Revisited for Unsupervised Summarization
  • Simple Unsupervised Summarization by Contextual Matching
  • On the Summarization of Consumer Health Questions: 医学博士（MD）の人が書いてたから
  • Disentangled Representation Learning for Non-Parallel Text Style Transfer
  • TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
  • Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
  • Generating Responses with a Specific Emotion in Dialog

個人的な趣味

  • ★ Corpus-based Check-up for Thesaurus
  • BERT-based Lexical Substitution: 文意を変えずに語を置換するタスク。誤り訂正とかAugmentationにも使えるはず。
  • Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners: 文法誤り訂正の理由の提示
  • Cross-Sentence Grammatical Error Correction: 複数文にまたがる情報を用いた文法誤り訂正
  • Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study: Seq2Seqの枠組みでの文法誤り訂正
  • Controlling Grammatical Error Correction Using Word Edit Rate: 文法誤り訂正の強さを調整できる手法
  • Learning Compressed Sentence Representations for On-Device Text Processing: カッコよさそうな圧縮表現アルゴリズム
  • Augmenting Neural Networks with First-order Logic
  • L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language
  • Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
  • Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
  • Latent Variable Sentiment Grammar
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