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Summarization

1,882 papers

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Papers

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models EMNLP 2020 On Faithfulness and Factuality in Abstractive Summarization ACL 2020 OpinionDigest: A Simple Framework for Opinion Summarization ACL 2020 Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm EMNLP 2020 Overview of the First Workshop on Scholarly Document Processing (SDP) EMNLP 2020 PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation EMNLP 2020 Pre-training for Abstractive Document Summarization by Reinstating Source Text EMNLP 2020 PyMT5: multi-mode translation of natural language and Python code with transformers EMNLP 2020 Q-learning with Language Model for Edit-based Unsupervised Summarization EMNLP 2020 Quantitative argument summarization and beyond: Cross-domain key point analysis EMNLP 2020 Re-evaluating Evaluation in Text Summarization EMNLP 2020 Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization COLING 2020 SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics EMNLP 2020 SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020 SCE-SUMMARY at the FNS 2020 shared task COLING 2020 Screenplay Summarization Using Latent Narrative Structure ACL 2020 Self-Attention Guided Copy Mechanism for Abstractive Summarization ACL 2020 SEMA: Text Simplification Evaluation through Semantic Alignment AACL 2020 Semi-Supervised Learning for Video Captioning EMNLP 2020 Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020 Stepwise Extractive Summarization and Planning with Structured Transformers EMNLP 2020 Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset ACL 2020 Structure Learning for Headline Generation AAAI 2020 Summaformers @ LaySumm 20, LongSumm 20 EMNLP 2020 Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020