mlsanityData to 7 Oct 2026

Argumentation Mining in User-Generated Web Discourse

arXiv 1601.02403 ↗First posted 11 Jan 2016cs.CLcited by 69

Not on the map. Why?

Abstract (arXiv)

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.

Key facts. Cited by 69 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jan 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 10; 2023: 14; 2024: 8; 2025: 11; 2026: 13.

69 papers.

Sort:

By area:

  1. 2022Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generationcited by 73
  2. 2023Exploring the Potential of Large Language Models in Computational Argumentationcited by 42
  3. 2021AmbiFC: Fact-Checking Ambiguous Claims with Evidencecited by 38
  4. 2022Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Reviewcited by 37
  5. 2021DISAPERE: A Dataset for Discourse Structure in Peer Review Discussionscited by 35
  6. 2022Mining Legal Arguments in Court Decisionscited by 35
  7. 2024AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotatorscited by 28
  8. 2024Can Language Models Recognize Convincing Arguments?cited by 21
  9. 2021Claim Detection in Biomedical Twitter Postscited by 18
  10. 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 17
  11. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  12. 2025Large Language Models in Argument Mining: A Surveycited by 14
38 more
  1. 2022ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Miningcited by 12
  2. 2023Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generationcited by 12
  3. 2021Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialoguescited by 11
  4. 2024Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMscited by 11
  5. 2021Multi-Task Attentive Residual Networks for Argument Miningcited by 6
  6. 2023Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?cited by 6
  7. 2024A Hybrid Intelligence Method for Argument Miningcited by 6
  8. 2025Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checkscited by 6
  9. 2022Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?cited by 5
  10. 2022Efficient Argument Structure Extraction with Transfer Learning and Active Learningcited by 5
  11. 2023Text Analysis Using Deep Neural Networks in Digital Humanities and Information Sciencecited by 5
  12. 2023Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!cited by 5
  13. 2024Computational Argumentation-based Chatbots: a Surveycited by 5
  14. 2025Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Argumentscited by 5
  15. 2023Lessons Learned from a Citizen Science Project for Natural Language Processingcited by 4
  16. 2023How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Studycited by 4
  17. 2023Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Miningcited by 4
  18. 2023Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spanscited by 4
  19. 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
  20. 2025LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Commentscited by 4
  21. 2021Contextual Argument Component Classification for Class Discussionscited by 3
  22. 2023Topic Ontologies for Argumentscited by 3
  23. 2023TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Miningcited by 3
  24. 2026Multi-Agent Dialectical Refinement for Enhanced Argument Classificationcited by 3
  25. 2021Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Textscited by 2
  26. 2021How Should AI Interpret Rules? A Defense of Minimally Defeasible Interpretive Argumentationcited by 2
  27. 2023Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretrainingcited by 2
  28. 2024KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Miningcited by 2
  29. 2025Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedgingcited by 2
  30. 2025Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detectioncited by 2
  31. 2022Theme Aspect Argumentation Model for Handling Fallaciescited by 1
  32. 2022A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Studycited by 1
  33. 2022Non-Axiomatic Term Logic: A Computational Theory of Cognitive Symbolic Reasoningcited by 1
  34. 2023Multi-Task Learning Improves Performance In Deep Argument Mining Modelscited by 1
  35. 2024TACO -- Twitter Arguments from COnversationscited by 1
  36. 2025Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategiescited by 1
  37. 2026Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detectioncited by 1
  38. 2026From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relationscited by 1

50 most cited of 69 All 69 (JSON)