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Summarization

873 directly classified papers

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Papers

Does Pretraining for Summarization Require Knowledge Transfer? EMNLP 2021
Post-Editing Extractive Summaries by Definiteness Prediction EMNLP 2021
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations EMNLP 2021
Leveraging Information Bottleneck for Scientific Document Summarization EMNLP 2021
Overview of the 2021 Key Point Analysis Shared Task EMNLP 2021
Matching The Statements: A Simple and Accurate Model for Key Point Analysis EMNLP 2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization EMNLP 2021
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline EMNLP 2021
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021
A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual Summarization EMNLP 2021
Evaluation of Summarization Systems across Gender, Age, and Race EMNLP 2021
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes EMNLP 2021
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization EMNLP 2021
Summarization of German Court Rulings EMNLP 2021
Global-aware Beam Search for Neural Abstractive Summarization NIPS 2021
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization EMNLP 2020
Intrinsic Evaluation of Summarization Datasets EMNLP 2020
Evaluating the Factual Consistency of Abstractive Text Summarization EMNLP 2020
Semi-Supervised Learning for Video Captioning EMNLP 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization EMNLP 2020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers EMNLP 2020
KLearn: Background Knowledge Inference from Summarization Data EMNLP 2020
Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization EMNLP 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020