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From Arguments to Key Points: Towards Automatic Argument Summarization

arXiv 2005.01619 ↗First posted 4 May 2020cs.CLcited by 60

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Abstract (arXiv)

Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem. We propose to represent such summaries as a small set of talking points, termed "key points", each scored according to its salience. We show, by analyzing a large dataset of crowd-contributed arguments, that a small number of key points per topic is typically sufficient for covering the vast majority of the arguments. Furthermore, we found that a domain expert can often predict these key points in advance. We study the task of argument-to-key point mapping, and introduce a novel large-scale dataset for this task. We report empirical results for an extensive set of experiments with this dataset, showing promising performance.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 May 2020.

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Citing papers per year: 2021: 12; 2022: 6; 2023: 11; 2024: 13; 2025: 13; 2026: 5.

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  1. 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
  2. 2021Overview of the 2021 Key Point Analysis Shared Taskcited by 23
  3. 2021NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledgecited by 20
  4. 2021Every Bite Is an Experience: Key Point Analysis of Business Reviewscited by 19
  5. 2021Key Point Analysis via Contrastive Learning and Extractive Argument Summarizationcited by 16
  6. 2021Investigating label suggestions for opinion mining in German Covid-19 social mediacited by 15
  7. 2021Generating Informative Conclusions for Argumentative Textscited by 14
  8. 2023Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversitycited by 14
  9. 2025Large Language Models in Argument Mining: A Surveycited by 14
  10. 2021MultiOpEd: A Corpus of Multi-Perspective News Editorialscited by 13
  11. 2022Cluster & Tune: Boost Cold Start Performance in Text Classificationcited by 13
  12. 2024Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluationcited by 13
38 more
  1. 2024Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Biascited by 12
  2. 2025Explainability in Practice: A Survey of Explainable NLP Across Various Domainscited by 11
  3. 2022Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networkscited by 10
  4. 2024An Empirical Analysis of Diversity in Argument Summarizationcited by 9
  5. 2024ElicitationGPT: Text Elicitation Mechanisms via Language Modelscited by 9
  6. 2021Project Debater APIs: Decomposing the AI Grand Challengecited by 8
  7. 2023From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarizationcited by 8
  8. 2024OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Datasetcited by 8
  9. 2021DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Modelscited by 7
  10. 2021Design Challenges for a Multi-Perspective Search Enginecited by 7
  11. 2023ArgU: A Controllable Factual Argument Generatorcited by 7
  12. 2024A Hybrid Intelligence Method for Argument Miningcited by 6
  13. 2024Prompted Aspect Key Point Analysis for Quantitative Review Summarizationcited by 6
  14. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5
  15. 2023Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisationcited by 5
  16. 2023HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicinecited by 5
  17. 2024Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metriccited by 5
  18. 2022Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancycited by 4
  19. 2024Exploring Key Point Analysis with Pairwise Generation and Graph Partitioningcited by 4
  20. 2024Random Tree Model of Meaningful Memorycited by 4
  21. 2025MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collectionscited by 4
  22. 2025Argument Summarization and its Evaluation in the Era of Large Language Modelscited by 4
  23. 2025LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Commentscited by 4
  24. 2023Topic Ontologies for Argumentscited by 3
  25. 2024Rationale-based Opinion Summarizationcited by 3
  26. 2025Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RLcited by 3
  27. 2025Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluationcited by 3
  28. 2025CLEAR: Error Analysis via LLM-as-a-Judge Made Easycited by 3
  29. 2025ArgCMV: An Argument Summarization Benchmark for the LLM-eracited by 3
  30. 2025OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviewscited by 3
  31. 2023Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretrainingcited by 2
  32. 2025Aligned Textual Scoring Rulescited by 2
  33. 2026Where You Inject Diversity Matters: A Unified Framework for Diverse Generationcited by 2
  34. 2022He Said, She Said: Style Transfer for Shifting the Perspective of Dialoguescited by 1
  35. 2022Arguments to Key Points Mapping with Prompt-based Learningcited by 1
  36. 2024TACO -- Twitter Arguments from COnversationscited by 1
  37. 2024QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyondcited by 1
  38. 2026ArgBench: Benchmarking LLMs on Computational Argumentation Taskscited by 1

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