- What Have We Achieved on Text Summarization?
- Extractive Summarization as Text Matching
- Text Summarization Techniques
- Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
- Toward Making the Most of Context in NMT
- Attention is All you Need
- SummaRuNNer
- Text Summarization with Pretrained Encoders
- STRUCTURED NEURAL SUMMARIZATION
- Heterogeneous Graph Neural Networks
- Summary Level Training of Sentence Rewriting for Abstractive Summarization
- Abstractive Summarization: A Survey of the State of the Art
- 事实一致性
- BART Denoising
- A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
- Abstractive News Summarization based on Event Semantic Link Network
- Deep Communicating Agents for Abstractive Summarization
- A Closer Look at Data Bias in Neural Extractive Summarization Models
- CoLAKE: Contextualized Language and Knowledge Embedding
- CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
- Neural Document Summarization by Jointly Learning to Score and Select Sentences
- Two-stage encoding Extractive Summarization
- 对话摘要 Dialog Summarization