Summarization

DebateSum: A large-scale argument mining and summarization dataset COLING 2020 Dimsum @LaySumm 20 EMNLP 2020 Discourse-Aware Neural Extractive Text Summarization ACL 2020 Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020 Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation EMNLP 2020 Divide and Conquer: From Complexity to Simplicity for Lay Summarization EMNLP 2020 Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism AAAI 2020 Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! EMNLP 2020 Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. EMNLP 2020 End-to-end NLP Pipelines in Rust EMNLP 2020 Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification EMNLP 2020 Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions AAAI 2020 Evaluating the Factual Consistency of Abstractive Text Summarization EMNLP 2020 Examining the State-of-the-Art in News Timeline Summarization ACL 2020 Exploring Content Selection in Summarization of Novel Chapters ACL 2020 Extractive Summarization as Text Matching ACL 2020 Facet-Aware Evaluation for Extractive Summarization ACL 2020 Fact-based Content Weighting for Evaluating Abstractive Summarisation ACL 2020 Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT COLING 2020 Factual Error Correction for Abstractive Summarization Models EMNLP 2020 FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization ACL 2020 Few-Shot Learning for Opinion Summarization EMNLP 2020 Fill in the BLANC: Human-free quality estimation of document summaries EMNLP 2020 Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020 Friendly Topic Assistant for Transformer Based Abstractive Summarization EMNLP 2020