EMNLP2021 generation相关论文

本文介绍了EMNLP2021会议上关于文本生成和问答系统的若干前沿论文,包括对比域适应、事实一致性评估、大规模数据集、概念引导的非自回归生成、结构适配器在预训练语言模型中的应用、印度尼西亚语NLG资源、动态知识图谱的交互式机器理解等。这些研究展示了在低资源、知识基础对话生成、多源异构知识增强对话、文档级实体提取、弱监督文本分类、高效问答等方面的重要进展。

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  1. Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
  2. $Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
  3. A Large-Scale Dataset for Empathetic Response Generation
  4. Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
  5. Structural Adapters in Pretrained Language Models for AMR-to-Text Generation
  6. IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
  7. Interactive Machine Comprehension with Dynamic Knowledge Graphs
  8. Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs
  9. A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
  10. TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
  11. More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge
  12. Document-level Entity-based Extraction as Template Generation
  13. Parallel Refinements for Lexically Constrained Text Generation with BART
  14. Weakly-supervised Text Classification Based on Keyword Graph
  15. Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
  16. Adaptive Information Seeking for Open-Domain Question Answering
  17. Few-Shot Text Generation with Natural Language Instructions
  18. Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation
  19. ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
  20. Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
  21. Data-to-text Generation by Splicing Together Nearest Neighbors
  22. Unsupervised Relation Extraction: A Variational Autoencoder Approach
  23. Neural Natural Logic Inference for Interpretable Question Answering
  24. Iterative GNN-based Decoder for Question Generation
  25. EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning
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