Summarization

CLIP-It! Language-Guided Video Summarization NeurIPS 2021 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ACL 2021 Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation EMNLP 2021 Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer EMNLP 2021 Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings EMNLP 2021 Contextualized Rewriting for Text Summarization AAAI 2021 Controllable Neural Dialogue Summarization with Personal Named Entity Planning EMNLP 2021 Convex Aggregation for Opinion Summarization EMNLP 2021 ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining ACL 2021 Cross-Lingual Abstractive Summarization with Limited Parallel Resources ACL 2021 CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization EMNLP 2021 D2S: Document-to-Slide Generation Via Query-Based Text Summarization NAACL 2021 damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization NAACL 2021 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021 Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation EMNLP 2021 Decision-Focused Summarization EMNLP 2021 Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL 2021 DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions ACL 2021 Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization IJCAI 2021 Discourse-Based Sentence Splitting EMNLP 2021 Discourse Understanding and Factual Consistency in Abstractive Summarization EACL 2021 Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution ACL 2021 Document-Level Text Simplification: Dataset, Criteria and Baseline EMNLP 2021 Does Pretraining for Summarization Require Knowledge Transfer? EMNLP 2021 EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle EMNLP 2021