- Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
- $Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
- A Large-Scale Dataset for Empathetic Response Generation
- Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
- Structural Adapters in Pretrained Language Models for AMR-to-Text Generation
- IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
- Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs
- A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
- TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
- More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge
- Document-level Entity-based Extraction as Template Generation
- Parallel Refinements for Lexically Constrained Text Generation with BART
- Weakly-supervised Text Classification Based on Keyword Graph
- Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
- Adaptive Information Seeking for Open-Domain Question Answering
- Few-Shot Text Generation with Natural Language Instructions
- Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation
- ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
- Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
- Data-to-text Generation by Splicing Together Nearest Neighbors
- Unsupervised Relation Extraction: A Variational Autoencoder Approach
- Neural Natural Logic Inference for Interpretable Question Answering
- Iterative GNN-based Decoder for Question Generation
- EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning
EMNLP2021 generation相关论文
最新推荐文章于 2024-09-15 07:50:03 发布
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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