B3

• [Slide] [Paper] 日本語学習者の作文における誤用タイプの階層的アノテーションに基づく機械学習による自動分類 (2017/02/23)
• [Slide] [Paper] 入れ子依存木の刈り込みによる単一文書要約手法 (2017/03/21)

B4

• [Slide] [Paper] 直訳性を利用した機械翻訳知識の自動構築 (2017/04/26)
• [Slide] [Paper] 単語アライメントを用いた英日機械翻訳文の流暢さの自動評価 (2017/05/19)
• [Slide] [Paper] Pre-Translation for Neural Machine Translation (2017/06/21)
• [Slide] [Paper] Controlling Politeness in Neural Machine Translation via Side Constraints (2017/07/18)
• [Slide] [Paper] Integrating Meaning into Quality Evaluation of Machine Translation (2017/08/30)
• [Slide] [Paper] Natural Language Generation enhances human decision-making with uncertain information (2017/09/21)
• [Slide] [Paper] A Persona-Based Neural Conversation Model (2018/02/28)
• [Slide] [Paper] Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search (2018/03/28)

M1

• [Slide] [Paper] Multi-Task Learning for Multiple Language Translation (2018/04/20)
• [Slide] [Paper] Generating Sentences from a Continuous Space (2018/05/11)
• [Slide] [Paper] Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer (2018/06/20)
• [Slide] [Paper] Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation (2018/07/20)
• [Slide] [Paper] Unsupervised Neural Machine Translation with Weight Sharing (2018/08/24)
• [Slide] [Paper] Generalizing Word Embeddings using Bag of Subwords (2018/09/26)
• [Slide] [Paper] Confidence Modeling for Neural Semantic Parsing (2018/10/24)
• [Slide] [Paper] Learning To Split and Rephrase From Wikipedia Edit History (2018/11/21)
• [Slide] [Paper] Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures (2018/12/12)
• [Slide] [Paper] Bag-of-Words as Target for Neural Machine Translation (2019/01/22)
• [Slide] [Paper] A Document Descriptor using Covariance of Word Vectors (2019/02/27)
• [Slide] [Paper] Attention is not Explanation (2019/03/19)

M2

• [Slide] [Paper] Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification (2019/04/23)
• [Slide] [Paper] Similarity-Based Reconstruction Loss for Meaning Representation (2019/05/28)
• [Slide] [Paper] Analyzing the Limitations of Cross-lingual Word Embedding Mappings (2019/06/25)
• [Slide] [Paper] Decomposable Neural Paraphrase Generation (2019/07/23)
• [Slide] [Paper] EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing (2019/08/08)
• [Slide] [Paper] Beyond BLEU: Training Neural Machine Translation with Semantic Similarity (2019/09/27)
• [Slide] [Paper] PAWS: Paraphrase Adversaries from Word Scrambling (2019/10/25)
• [Slide] [Paper] Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts (2019/11/22)
• [Slide] [Paper] Self-Supervised Neural Machine Translation (2019/12/13)
• [Slide] [Paper] Open Domain Web Keyphrase Extraction Beyond Language Modeling (2020/01/28)
• [Slide] [Paper] Quantity doesn’t buy quality syntax with neural language models (2020/02/21)