The Workshop on Argument Mining (ArgMining) provides a regular forum for presenting and discussing cutting-edge research in argument mining (a.k.a. argumentation mining) for academic and industry researchers. Continuing a series of thirteen successful previous workshops, the 2027 edition welcomes submissions of long papers, short papers, extended abstracts, and PhD proposals.
Building on the previous edition's focus on understanding and evaluating arguments in both human and machine reasoning, ArgMining 2027 places a special emphasis on Argumentation in Agentic and Human-AI Settings. Recent work on multi-agent debate offers new ways to investigate and improve LLM reasoning, while developments in human-AI interactive systems create opportunities to support critical thinking and collaborative decision-making. Both settings are inherently argumentative, as they involve participants advancing and contesting positions. This raises questions about the argumentative properties of interactions among agents and between agents and humans, and how established argumentation frameworks can help inform agentic and human-AI interactions. We welcome research that analyzes these interactions, develops systems to support human reasoning, or uses multi-agent debate for argument mining itself.
Topics of Interest
With a special theme on Argumentation in Agentic and Human-AI Settings, we particularly welcome work on:
- Evaluation and analysis of argumentative properties of multi-agent debate
- Development of human-AI interactive systems to support human reasoning and critical thinking
- Application of established argumentation frameworks to agentic and human-AI interactions
- Employment of multi-agent debate for argument mining tasks themselves
Other topics include, but not limited to:
- Automatic extraction of textual patterns that describe argument components in human and machine argumentation
- Cross-lingual, cross-cultural and multi-perspective argument mining and reasoning
- Argument mining and generation from multi-modal and/or multilingual data
- Explainability in argument mining through reasoning
- Modelling, assessing, and critically reflecting on the argumentation capabilities of LLMs
- Novel benchmarks in argument mining that cater to the recent developments in LLM reasoning as a whole
- Guidelines for assessing and documenting the reasoning process(es) reflected in benchmarks
- Annotation guidelines, linguistic analysis and argumentation corpora
- Real-world applications, e.g., supporting analysis of argument and discourse in the social sciences, education, law, or scientific writing; opinion analysis, argument analysis in meetings, and misinformation detection
- Integration of commonsense and domain knowledge into argumentation models for mining and generation
- Combination of information retrieval methods with argument mining, e.g., in order to build argumentative (web) search engines
- Reflection on ethical aspects and societal impact of argument mining and LLM reasoning
We welcome submissions from all areas of application.
Submission Types
The workshop accepts the following submission types:
- Long Papers (archival)
- Short Papers (archival)
- Extended Abstracts (non-archival)
- PhD Proposals (non-archival)
Accepted contributions will be presented as oral or poster presentations.
Archival Submissions
Long papers: up to 8 pages (excluding references) with up to 2 appendix pages. Long papers must describe substantial, original, completed, and unpublished work.
Short papers: up to 4 pages (excluding references) with 1 appendix page. Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper.
Non-Archival Submissions
Extended abstracts describe ongoing projects, interesting pieces of data or results, or already published work. Must be up to 2 pages including references with 1 appendix page.
PhD proposals describe PhD projects being or to be developed within the broad field of natural language argumentation processing. Must be up to 4 pages.
Non-archival submissions will be presented in a dedicated poster session for feedback and discussion.
Multiple Submissions Policy
ArgMining 2027 will not consider papers simultaneously under review elsewhere. Submissions overlapping significantly (>25%) with active ARR submissions will not be accepted. ARR-reviewed papers are allowed if reviews and meta-reviews are available by the ARR commitment deadline.
Submission Format
All submissions must follow the two-column ACL style guidelines and templates. Submissions must be electronic and in PDF format.
Important Dates
- Direct paper submission deadline: December 15, 2026
- Pre-reviewed ARR commitment deadline: December 22, 2026
- Archival paper submission deadline: December 22, 2026
- Notification of acceptance: January 5, 2027
- Camera-ready paper due: January 19, 2027
- Pre-recorded video due: February 12, 2027
- Conference dates: March 9–14, 2027
Review Policy
Long and short papers will follow ACL double-blind review policies. Submissions must be anonymized, including self-references and links. Papers violating anonymity requirements will be rejected without review. Demo descriptions are exempt from anonymization.
Best Paper Award
ArgMining 2027 will present a Best Paper Award to recognize significant contributions to argument mining research. All accepted papers are eligible.
Contact and Information
Website: https://argmining-org.github.io/2027/
Email: argmining.org [at] gmail.com
Workshop organisers
Debanjan Ghosh, Analog Devices
Kamila Gorska, University of Liverpool
Zlata Kikteva, University of Technology Nuremberg
Priya Pitre, Virginia Tech
Jodi Schneider, University of Wisconsin-Madison
Manfred Stede, University of Potsdam
Michiel van der Meer, Leiden University