Summarization

Summarizing Medical Conversations via Identifying Important Utterances COLING 2020 Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020 SUMSUM@FNS-2020 Shared Task COLING 2020 SumTitles: a Summarization Dataset with Low Extractiveness COLING 2020 SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization ACL 2020 SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020 Syntactically Look-Ahead Attention Network for Sentence Compression AAAI 2020 Syntax-Aware Action Targeting for Video Captioning CVPR 2020 Systematically Exploring Redundancy Reduction in Summarizing Long Documents AACL 2020 TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising EMNLP 2020 TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization EMNLP 2020 TLDR: Extreme Summarization of Scientific Documents EMNLP 2020 Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning EMNLP 2020 TWEETSUM: Event oriented Social Summarization Dataset COLING 2020 Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020 Understanding Points of Correspondence between Sentences for Abstractive Summarization ACL 2020 Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers EMNLP 2020 Unsupervised Opinion Summarization with Noising and Denoising ACL 2020 Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020 Using Pre-Trained Transformer for Better Lay Summarization EMNLP 2020 VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles EMNLP 2020 Weakly-Supervised Opinion Summarization by Leveraging External Information AAAI 2020 What Have We Achieved on Text Summarization? EMNLP 2020 WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization EMNLP 2020 Abstractive Summarization: A Survey of the State of the Art AAAI 2019