Call for papers: ArgMining 2027 -- 14th Workshop on Argument Mining and Reasoning

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.

Special theme
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
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


For this year's special theme, 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
Using multi-agent debate to identify, analyse, and evaluate arguments.


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 paper submissions must describe substantial, original, completed, and unpublished work. Long papers must be at most eight pages, including title, text, figures, and tables. An unlimited number of pages is allowed for references. Two additional pages are allowed for appendices, and an extra page is allowed in the final version to address reviewers’ comments.

Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Short papers must be at most four pages, including title, text, figures, and tables. An unlimited number of pages is allowed for references. One additional page is allowed for the appendix, and an extra page is allowed in the final version to address reviewers’ comments.

Non-Archival Submissions
Extended abstracts must be at most two pages, including references and an additional page as an appendix for tables/figures describing ongoing projects, interesting pieces of data or results, or already published work.

PhD proposals must describe PhD projects being or to be developed within the broad field of natural language argumentation processing. PhD proposals must be at most four pages, including the main research directions or challenges being investigated, the specific contributions made (on the research direction), and the directions for the remaining work.

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
Workshop: March 9–14, 2027 (exact date TBA)


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
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