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Ranking Sentences for Extractive Summarization with Reinforcement Learning

arXiv 1802.08636 ↗First posted 23 Feb 2018cs.CLcited by 128

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Abstract (arXiv)

Single document summarization is the task of producing a shorter version of a document while preserving its principal information content. In this paper we conceptualize extractive summarization as a sentence ranking task and propose a novel training algorithm which globally optimizes the ROUGE evaluation metric through a reinforcement learning objective. We use our algorithm to train a neural summarization model on the CNN and DailyMail datasets and demonstrate experimentally that it outperforms state-of-the-art extractive and abstractive systems when evaluated automatically and by humans.

Key facts. Cited by 128 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2018.

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Citing papers per year: 2021: 43; 2022: 30; 2023: 30; 2024: 14; 2025: 10; 2026: 1.

128 papers.

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  1. 2021BARTScore: Evaluating Generated Text as Text Generationcited by 719
  2. 2023Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generationcited by 159
  3. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  4. 2022Evaluating the Factual Consistency of Large Language Models Through News Summarizationcited by 90
  5. 2021Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selectioncited by 75
  6. 2023Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedbackcited by 71
  7. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 68
  8. 2023Extractive Summarization via ChatGPT for Faithful Summary Generationcited by 58
  9. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  10. 2021Aspect-Controllable Opinion Summarizationcited by 47
  11. 2023Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articlescited by 45
  12. 2022mFACE: Multilingual Summarization with Factual Consistency Evaluationcited by 42
38 more
  1. 2023Discrete Prompt Compression with Reinforcement Learningcited by 42
  2. 2021Automatic Text Evaluation through the Lens of Wasserstein Barycenterscited by 38
  3. 2021Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphscited by 36
  4. 2021DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarizationcited by 34
  5. 2021InfoLM: A New Metric to Evaluate Summarization & Data2Text Generationcited by 33
  6. 2021Bidimensional Leaderboards: Generate and Evaluate Language Hand in Handcited by 32
  7. 2022Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarizationcited by 32
  8. 2022HEGEL: Hypergraph Transformer for Long Document Summarizationcited by 28
  9. 2022Toward Unifying Text Segmentation and Long Document Summarizationcited by 28
  10. 2021RefSum: Refactoring Neural Summarizationcited by 25
  11. 2023DiffuSum: Generation Enhanced Extractive Summarization with Diffusioncited by 25
  12. 2022AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarizationcited by 24
  13. 2022Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluationcited by 23
  14. 2021MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processescited by 19
  15. 2021Multiplex Graph Neural Network for Extractive Text Summarizationcited by 19
  16. 2021Data Augmentation for Abstractive Query-Focused Multi-Document Summarizationcited by 18
  17. 2021See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarizationcited by 18
  18. 2022Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learningcited by 18
  19. 2021A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regionscited by 17
  20. 2022Unsupervised Extractive Opinion Summarization Using Sparse Codingcited by 17
  21. 2024Abstractive Text Summarization: State of the Art, Challenges, and Improvementscited by 17
  22. 2024EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generationcited by 17
  23. 2021How well do you know your summarization datasets?cited by 16
  24. 2023NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklistcited by 16
  25. 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
  26. 2025REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformationscited by 15
  27. 2021Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learningcited by 13
  28. 2021Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discoverycited by 13
  29. 2022Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedbackcited by 13
  30. 2023NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarizationcited by 13
  31. 2022Fooling MOSS Detection with Pretrained Language Modelscited by 12
  32. 2023MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videoscited by 12
  33. 2023Reinforcement Learning for Generative AI: A Surveycited by 11
  34. 2024Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewardscited by 11
  35. 2021Robust Deep Reinforcement Learning for Extractive Legal Summarizationcited by 10
  36. 2023Exploiting Pseudo Image Captions for Multimodal Summarizationcited by 10
  37. 2023DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Predictioncited by 10
  38. 2022GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized discourse statecited by 9

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