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Neural Summarization by Extracting Sentences and Words

arXiv 1603.07252 ↗First posted 23 Mar 2016cs.CLcited by 114

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Abstract (arXiv)

Traditional approaches to extractive summarization rely heavily on human-engineered features. In this work we propose a data-driven approach based on neural networks and continuous sentence features. We develop a general framework for single-document summarization composed of a hierarchical document encoder and an attention-based extractor. This architecture allows us to develop different classes of summarization models which can extract sentences or words. We train our models on large scale corpora containing hundreds of thousands of document-summary pairs. Experimental results on two summarization datasets demonstrate that our models obtain results comparable to the state of the art without any access to linguistic annotation.

Key facts. Cited by 114 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Mar 2016.

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Citing papers per year: 2021: 34; 2022: 24; 2023: 28; 2024: 15; 2025: 11; 2026: 2.

114 papers.

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  1. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
  2. 2021Decontextualization: Making Sentences Stand-Alonecited by 101
  3. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  4. 2023The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Textcited by 97
  5. 2021Protecting Intellectual Property of Language Generation APIs with Lexical Watermarkcited by 78
  6. 2025Lifelong Learning of Large Language Model based Agents: A Roadmapcited by 78
  7. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  8. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 68
  9. 2023Align and Attend: Multimodal Summarization with Dual Contrastive Lossescited by 65
  10. 2023XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Modelscited by 61
  11. 2023Extractive Summarization via ChatGPT for Faithful Summary Generationcited by 58
  12. 2023SummIt: Iterative Text Summarization via ChatGPTcited by 53
38 more
  1. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  2. 2023Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articlescited by 45
  3. 2023Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decodercited by 44
  4. 2022Long Document Summarization with Top-down and Bottom-up Inferencecited by 42
  5. 2021Paradigm Shift in Natural Language Processingcited by 39
  6. 2022HEGEL: Hypergraph Transformer for Long Document Summarizationcited by 28
  7. 2022HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Informationcited by 26
  8. 2023DiffuSum: Generation Enhanced Extractive Summarization with Diffusioncited by 25
  9. 2021Long Document Summarization in a Low Resource Setting using Pretrained Language Modelscited by 24
  10. 2021Long-Span Summarization via Local Attention and Content Selectioncited by 24
  11. 2021Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documentscited by 23
  12. 2021Topic-Aware Contrastive Learning for Abstractive Dialogue Summarizationcited by 23
  13. 2021Convex Aggregation for Opinion Summarizationcited by 21
  14. 2022CoNT: Contrastive Neural Text Generationcited by 21
  15. 2022Retrieval augmentation of large language models for lay language generationcited by 21
  16. 2021Multiplex Graph Neural Network for Extractive Text Summarizationcited by 19
  17. 2021Data Augmentation for Abstractive Query-Focused Multi-Document Summarizationcited by 18
  18. 2021See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarizationcited by 18
  19. 2022Unsupervised Extractive Opinion Summarization Using Sparse Codingcited by 17
  20. 2024EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generationcited by 17
  21. 2021End-to-End Segmentation-based News Summarizationcited by 16
  22. 2022An Extractive-and-Abstractive Framework for Source Code Summarizationcited by 15
  23. 2021Text Compression-aided Transformer Encodingcited by 13
  24. 2021Leveraging Information Bottleneck for Scientific Document Summarizationcited by 13
  25. 2022MACSum: Controllable Summarization with Mixed Attributescited by 13
  26. 2023CopyNE: Better Contextual ASR by Copying Named Entitiescited by 13
  27. 2023MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videoscited by 12
  28. 2021Demoting the Lead Bias in News Summarization via Alternating Adversarial Learningcited by 10
  29. 2022Questioning the Validity of Summarization Datasets and Improving Their Factual Consistencycited by 9
  30. 2023Contrastive Hierarchical Discourse Graph for Scientific Document Summarizationcited by 9
  31. 2024Structsum Generation for Faster Text Comprehensioncited by 9
  32. 2024Select and Summarize: Scene Saliency for Movie Script Summarizationcited by 9
  33. 2021Contextualized Rewriting for Text Summarizationcited by 8
  34. 2022COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarizationcited by 8
  35. 2023Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarizationcited by 7
  36. 2023Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contentscited by 7
  37. 2021Nutri-bullets: Summarizing Health Studies by Composing Segmentscited by 6
  38. 2021LawSum: A weakly supervised approach for Indian Legal Document Summarizationcited by 6

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