【论文整理】EMNLP-IJCNLP 2019 Papers Poster & Demo Session Discourse and Pragmatics, Summarization

Poster & Demo Session

Discourse and Pragmatics, Summarization and Generation

  • Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (#723) [arXiv]
  • A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing (#2916)
  • Weakly Supervised Multilingual Causality Extraction fromWikipedia (#3994)
  • Attribute-aware Sequence Network for Review Summarization (#210)
  • Extractive Summarization of Long Documents by Combining Global and Local Context (#268) [arXiv]
  • Enhancing Neural Data-To-Text Generation Models with External Background Knowledge (#313)
  • Reading Like HER: Human Reading Inspired Extractive Summarization (#346)
  • Contrastive Attention Mechanism for Abstractive Sentence Summarization (#361)
  • NCLS: Neural Cross-Lingual Summarization (#703) [arXiv]
  • Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning (#749) [arXiv]
  • Concept Pointer Network for Abstractive Summarization (#845)
  • Surface Realisation Using Full Delexicalisation (#1139)
  • Unsupervised Text Attribute Transfer via Iterative Matching and Translation (#1169) [arXiv]
  • Better Rewards Yield Better Summaries: Learning to Summarise Without References (#1191) [arXiv]
  • Mixture Content Selection for Diverse Sequence Generation (#1369) [arXiv]
  • An End-to-End Generative Architecture for Paraphrase Generation (#1375)
  • Table-to-Text Generation with Effective Hierarchical Encoder on Three dimensions (Row, Column and Time) (#1726) [arXiv]
  • Subtopic-Driven Multi-Document Summarization (#1779)
  • Referring Expression Generation Using Entity Profiles (#1805) [arXiv]
  • Exploring Diverse Expressions for Paraphrase Generation (#1834)
  • Enhancing AMR-to-Text Generation with Dual Graph Representations (#1852) [arXiv]
  • Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning (#1881)
  • Toward a task of feedback comment generation for writing learning (#2031)
  • Improving Question Generation With to the Point Context (#2033) [arXiv]
  • Deep Copycat Networks for Text-to-Text Generation (#2121)
  • Towards Controllable and Personalized Review Generation (#2412) [arXiv]
  • Answers Unite! Unsupervised Metrics for Reinforced Summarization Models (#2604) [arXiv]
  • Long and Diverse Text Generation with Planning-based Hierarchical Variational Model (#2746) [arXiv]
  • “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer (#2932) [arXiv]
  • An Entity-Driven Framework for Abstractive Summarization (#3275) [arXiv]
  • Neural Extractive Text Summarization with Syntactic Compression (#3334) [arXiv]
  • Domain Adaptive Text Style Transfer (#3511) [arXiv]
  • Let’s Ask Again: Refine Network for Automatic Question Generation (#3754) [arXiv]
  • Earlier Isn’t Always Better: Submodular Analysis on Corpus and System Biases in Summarization (#3846) [arXiv]

Back to Top

你可能感兴趣的:(【论文整理】EMNLP-IJCNLP 2019 Papers Poster & Demo Session Discourse and Pragmatics, Summarization)