Argument Mining

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8 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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Latest papers 22

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Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning
Oct 6, 2026Zhijun Zhang, Qianlong Wang, Keyang Ding +5Adversarial Training Argument Mining
College of Applied Science, Shenzhen University, Shenzhen, China · School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · Harbin Institute of Technology (Shenzhen), Shenzhen, China +2
Inductive Claims Extraction at Scale
Oct 4, 2026Sandrine Chausson, Björn RossSocial Media Analysis Argument Mining
University of Edinburgh
TTLab at Daleel 2026: STAR-Ar, Sequence Tagging for Argument Recognition in Arabic
Sep 30, 2026Bhuvanesh Verma, Ali Abusaleh, Alexander MehlerArgument Mining Arabic NLP
Text Technology Lab (TTLab), Goethe University Frankfurt
Designing and Analysing Argument Mining Pipelines: Towards a Comprehensive Assessment
Sep 22, 2026Siddharth Bhargava, Sara Tonelli, Patricia Martín-RodillaArgument Mining
Fondazione Bruno Kessler, Trento, Italy · Universidade da Coruña, A Coruña, Spain · IEGPS-CSIC, Spanish National Research Council, Santiago de Compostela, Spain
Mining Legal Arguments in U.S. Corporate Case Law
Sep 21, 2026Luis Brena, William Jurayj, Gregory Deyesu +3Argument Mining Legal IR
Johns Hopkins University · University of Maryland School of Law
Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection
Sep 21, 2026Sofiane Elguendouze, Erwan Hain, Elena Cabrio +1Argument Mining LLM Information Extraction
UniCA, I3S, MARIANNE · Universit´e Cˆote d’Azur, CNRS, INRIA, I3S Sophia-Antipolis, France · UniCA, MARIANNE +2
Structured Claim-Level Discourse Representations for Dense Health Narratives
Sep 16, 2026Farnoushsadat Nilizadeh, Elham Pourabbas Vafa, Shirin Nilizadeh +1Argument Mining Stance Detection
Temple University · University of Texas at Arlington
Fallacy Benchmarks Measure Scheme Recognition, Not Fallacy Detection
Sep 16, 2026Navyansh Singh, Animesh Pathak, Aarav SinghArgument Mining Computational Argumentation
IIIT Naya Raipur
Who Argues What? Joint Argument-Entity Detection and Classification in Political Debates
Sep 9, 2026Lucio La Cava, Stefano Francesco Monea, Sergio GrecoNamed Entity Recognition Argument Mining
DIMES Dept., University of Calabria v. P. Bucci 44Z, 87036 Rende, CS, Italy
Comparing and Modeling Argumentation in German Political Communication across Arenas
Jul 31, 2026Nina Vikhrova, Johannes Kühling, Sebastian Haunss +1Argument Mining Political Discourse Analysis
IMS, Universität Stuttgart · SOCIUM, Universität Bremen
MIRA-Ev:A Benchmark for Granular Evidence Detection and Relational Reasoning in Clinical Exams
Jul 21, 2026Iker De la Iglesia, Johanna Ramirez-Romero, Jose Maria Villa-Gonzalez +3Multilingual Language Model Evaluation Argument Mining
HiTZ Center, University of the Basque Country (EHU) · Hospital Universitario de Cruces
Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance
Jul 14, 2026Stylianos Loukas Vasileiou, Olga DerendiaevaArgument Mining Political Discourse Analysis
New Mexico State University · Sun Yat-Sen University
From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relations
Jun 14, 2026Jakub Bąba, Jarosław A. ChudziakRelation Extraction Argument Mining
Faculty of Electronics and Information Technology, Warsaw University of Technology, Poland
A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
Jun 11, 2026Hu Huang, Genan Dai, Fuqiang Niu +3Social Media Analysis Argument Mining
School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China · School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · School of Urban Planning and Design, Peking University, Shenzhen, China
CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures
Jun 4, 2026Jakub Bąba, Jarosław A. ChudziakArgument Mining Computational Argumentation
Faculty of Electronics and Information Technology, Warsaw University of Technology, Poland
Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate
May 17, 2026Zheqin Yin, Yupei Ren, Yadong Zhang +2Argument Mining Automated Essay Scoring
School of Computer Science and Technology, East China Normal University · 2Shanghai Institute of Artificial Intelligence for Education, East China Normal University · Lab of Artificial Intelligence for Education, East China Normal University
An LLM-Based System for Argument Mining
May 13, 2026Paulo Pirozelli, Victor Hugo Nascimento Rocha, Fabio G. Cozman +1Argument Mining Computational Argumentation
Universidade de S˜ao Paulo · Center for Artificial Intelligence (C4AI) · Instituto Mau´a de Tecnologia +1
A Reflective Storytelling Agent for Older Adults: Integrating Argumentation Schemes and Argument Mining in LLM-Based Personalised Narratives
May 11, 2026Jayalakshmi Baskar, Vera C. Kaelin, Kaan Kilic +1Argument Mining LLM Agent Evaluation
Umeå University, Department of Computing Science, Sweden
Leveraging Argument Structure to Predict Content Hatefulness
May 4, 2026Nicolás Benjamín Ocampo, Davide CeolinArgument Mining Hate Speech Detection
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
ArgBench: Benchmarking LLMs on Computational Argumentation Tasks
Apr 19, 2026Yamen Ajjour, Carlotta Quensel, Nedim Lipka +1LLM Evaluation Argument Mining
Leibniz University Hannover · Adobe Research · Leibniz University Hannover, L3S
A Community-Based Approach for Stance Distribution and Argument Organization
Apr 18, 2026Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. NgArgument Mining Stance Detection
University of British Columbia
RooseBERT: A New Deal For Political Language Modelling
Aug 5, 2025Deborah Dore, Elena Cabrio, Serena VillataLanguage Model Pretraining Argument Mining
Universit´e Cˆote d’Azur CNRS, INRIA, I3S Sophia Antipolis, France

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Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning

Zhijun Zhang, Qianlong Wang, Keyang Ding, Genan Dai+4

College of Applied Science, Shenzhen University, Shenzhen, China · School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · Harbin Institute of Technology (Shenzhen), Shenzhen, China+2

Adversarial Training Argument Mining Synthetic Data Generation RL for Generative Models

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Argument Mining (AM) is fundamentally constrained by the scarcity of high-quality structure-annotated datasets. While LLMs have shown promise in synthetic data generation, producing synthetic AM data that is both structurally accurate and sufficiently diverse remains a challenging problem. To address this problem, we revisit synthetic data generation for AM from a new perspective and propose a novel adversarial reinforcement learning framework for data synthesis. The proposed framework jointly optimizes the generator and the discriminator in an adversarial loop, in which the generator produces structured AM instances, and the discriminator provides learning signals by distinguishing real data from synthetic candidates. This enables the generator to progressively improve both the structural accuracy of generated argument data while maintaining diversity through adversarial feedback. Extensive experiments demonstrate that the proposed framework consistently improves AM performance on three benchmark datasets in both full-data and low-resource settings, validating its effectiveness and scalability.

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