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Neural End-to-End Learning for Computational Argumentation Mining

arXiv 1704.06104 ↗First posted 20 Apr 2017cs.CLcited by 41

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Abstract (arXiv)

We investigate neural techniques for end-to-end computational argumentation mining (AM). We frame AM both as a token-based dependency parsing and as a token-based sequence tagging problem, including a multi-task learning setup. Contrary to models that operate on the argument component level, we find that framing AM as dependency parsing leads to subpar performance results. In contrast, less complex (local) tagging models based on BiLSTMs perform robustly across classification scenarios, being able to catch long-range dependencies inherent to the AM problem. Moreover, we find that jointly learning 'natural' subtasks, in a multi-task learning setup, improves performance.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2017.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 8; 2024: 5; 2025: 6; 2026: 7.

41 papers.

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  1. 2023Exploring the Potential of Large Language Models in Computational Argumentationcited by 42
  2. 2022IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Taskscited by 23
  3. 2021Claim Detection in Biomedical Twitter Postscited by 18
  4. 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 17
  5. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  6. 2024Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debatecited by 16
  7. 2022Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatmentscited by 14
  8. 2023AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approachcited by 9
  9. 2021Multi-Task Attentive Residual Networks for Argument Miningcited by 6
  10. 2024A Hybrid Intelligence Method for Argument Miningcited by 6
  11. 2024Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniquescited by 6
  12. 2025Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checkscited by 6
29 more
  1. 2022Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?cited by 5
  2. 2023Identifying Informational Sources in News Articlescited by 5
  3. 2023HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicinecited by 5
  4. 2022Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasetscited by 4
  5. 2021Contextual Argument Component Classification for Class Discussionscited by 3
  6. 2023AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Miningcited by 3
  7. 2026Multi-Agent Dialectical Refinement for Enhanced Argument Classificationcited by 3
  8. 2021"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essayscited by 2
  9. 2021Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performancecited by 2
  10. 2023Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretrainingcited by 2
  11. 2022A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Studycited by 1
  12. 2023Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?cited by 1
  13. 2025End-to-End Argument Mining through Autoregressive Argumentative Structure Predictioncited by 1
  14. 2025Mining Legal Arguments to Study Judicial Formalismcited by 1
  15. 2026Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detectioncited by 1
  16. 2026Argument Mining as a Text-to-Text Generation Taskcited by 1
  17. 2021Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Textcited by 0
  18. 2022Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identificationcited by 0
  19. 2022Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognitioncited by 0
  20. 2023Explainable Topic-Enhanced Argument Mining from Heterogeneous Sourcescited by 0
  21. 2024DMON: A Simple yet Effective Approach for Argument Structure Learningcited by 0
  22. 2024Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Languagecited by 0
  23. 2025Medical Argument Mining: Exploitation of Scarce Data Using NLI Systemscited by 0
  24. 2025Winning with Less for Low Resource Languages: Advantage of Cross-Lingual English_Persian Argument Mining Model over LLM Augmentationcited by 0
  25. 2025AI-Assisted Authoring for Transparent, Data-Driven Documentscited by 0
  26. 2026Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governancecited by 0
  27. 2026Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detectioncited by 0
  28. 2026Designing and Analysing Argument Mining Pipelines: Towards a Comprehensive Assessmentcited by 0
  29. 2026TTLab at Daleel 2026: STAR-Ar, Sequence Tagging for Argument Recognition in Arabiccited by 0