mlsanityData to 14 Oct 2026

Argument Mining with Structured SVMs and RNNs

arXiv 1704.06869 ↗First posted 23 Apr 2017cs.CLcited by 37

Not on the map. Why?

Abstract (arXiv)

We propose a novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure. (This is the case in over 20% of the web comments dataset we release.) Our model jointly learns elementary unit type classification and argumentative relation prediction. Moreover, our model supports SVM and RNN parametrizations, can enforce structure constraints (e.g., transitivity), and can express dependencies between adjacent relations and propositions. Our approaches outperform unstructured baselines in both web comments and argumentative essay datasets.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Apr 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 7; 2022: 4; 2023: 4; 2024: 8; 2025: 5; 2026: 9.

37 papers.

Sort:

By area:

  1. 2021Identifying Morality Frames in Political Tweets using Relational Learningcited by 26
  2. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  3. 2024AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligencecited by 12
  4. 2021Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialoguescited by 11
  5. 2023AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approachcited by 9
  6. 2021Multi-Task Attentive Residual Networks for Argument Miningcited by 6
  7. 2024A Hybrid Intelligence Method for Argument Miningcited by 6
  8. 2022Efficient Argument Structure Extraction with Transfer Learning and Active Learningcited by 5
  9. 2024Efficient argument classification with compact language models and ChatGPT-4 refinementscited by 5
  10. 2025Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Argumentscited by 5
  11. 2021Randomized Deep Structured Prediction for Discourse-Level Processingcited by 4
  12. 2024The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trendscited by 4
25 more
  1. 2021Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Textscited by 3
  2. 2023Argument Mining using BERT and Self-Attention based Embeddingscited by 3
  3. 2023AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Miningcited by 3
  4. 2025AMELIA: A Family of Multi-task End-to-end Language Models for Argumentationcited by 3
  5. 2026Multi-Agent Dialectical Refinement for Enhanced Argument Classificationcited by 3
  6. 2021"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essayscited by 2
  7. 2022Enhancing Legal Argument Mining with Domain Pre-training and Neural Networkscited by 2
  8. 2022LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Argumentscited by 2
  9. 2024Sequence Graph Network for Online Debate Analysiscited by 2
  10. 2023Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Informationcited by 1
  11. 2025Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Methodcited by 1
  12. 2025A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1cited by 1
  13. 2025End-to-End Argument Mining through Autoregressive Argumentative Structure Predictioncited by 1
  14. 2026Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detectioncited by 1
  15. 2026A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2cited by 1
  16. 2026Argument Mining as a Text-to-Text Generation Taskcited by 1
  17. 2026From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relationscited by 1
  18. 2022Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognitioncited by 0
  19. 2024DMON: A Simple yet Effective Approach for Argument Structure Learningcited by 0
  20. 2024Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Languagecited by 0
  21. 2024Overview of the CAIL 2023 Argument Mining Trackcited by 0
  22. 2026Who Argues What? Joint Argument-Entity Detection and Classification in Political Debatescited by 0
  23. 2026Autoformalizing Argumentative Material Inferencescited by 0
  24. 2026Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detectioncited by 0
  25. 2026Designing and Analysing Argument Mining Pipelines: Towards a Comprehensive Assessmentcited by 0