CALL FOR PAPERS
The 12th Workshop on Argument Mining @ ACL 2025
July 31, 2025
https://argmining-org.github.io/2025/
The 12th Workshop on Argument Mining will be held on July 31, 2025, in Viena,
Austria, together with ACL 2025.
The Workshop on Argument Mining provides a regular forum for presenting and
discussing cutting-edge research in argument mining (a.k.a argumentation
mining) for academic and industry researchers. By continuing a series of eleven
successful previous workshops, this edition will welcome the submission of long
and short papers, as well as extended abstracts and PhD proposals. It will also
feature a number of shared tasks and a keynote talk.
IMPORTANT DATES
Direct paper submission deadline (OpenReview): April 17, 2025
Paper commitment from ARR: May 21, 2025
Notification of acceptance: May 28, 2025
Camera-ready papers due: June 4, 2025
Workshop: July 31, 2025
TOPICS OF INTEREST
- Identification, Assessment, and Analysis of Arguments
- Identification of argument components (e.g., premises and conclusions)
- Structure analysis of arguments within and across documents
- Relation Identification between arguments and counterarguments (e.g.,
support and attack)
- Creation and evaluation of argument annotation schemes, relationships to
linguistic and discourse annotations, (semi-) automatic argument annotation
methods and tools, and creation of argumentation corpora
- Assessment of arguments for various properties (e.g., stance, clarity)
- Generation of Arguments, Multi-modal and Multi-lingual Argument Mining
- Automatic generation of arguments and their components
- Consideration of discourse goals in argument generation
- Argument mining and generation from multi-modal/multi-lingual data
- Mining and Analysis of different Genres and Domains of Arguments
- Argument mining in specific genres and domains (e.g., education, law,
scientific writing)
- Analysis of unique styles within genres (e.g., short informal text,
highly structured writing)
- Modelling, assessing, and critically reflecting on the argumentative
reasoning capabilities of Large Language Models
- Knowledge Integration, Information Retrieval, and Real-world Applications
- Integration of commonsense and domain knowledge into argumentation models
- Combination of information retrieval methods with argument mining
- Real-world applications, including argument web search, opinion analysis
and summarization, and misinformation detection
- Interdisciplinary interfaces of Argument Mining
- Mining political discourse, by experts and laypeople
- Argument mining support for deliberation
- Persuasion and convincingess from a psychological perspective
- Subjectivity, disagreements and perspectivism in argumentation
- Ethical Considerations and Future Reflections
- Reflection on the ethical aspects and societal impact of argument-mining
methods
- Reflection on the future of argument mining in light of the fast
advancement of large language models (LLMs)
SUBMISSIONS
The organizing committee welcomes submitting long papers, short papers,
extended abstracts and PhD proposals. Accepted papers will be presented via
oral or poster presentations. Long and short papers will be included in the ACL
proceedings as workshop papers. Extended abstracts and PhD proposals will be
non-archival.
- Long paper submissions must describe substantial, original, completed, and
unpublished work. Wherever appropriate, concrete evaluation and analysis should
be included. 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. Instead, short papers
should have a point that can be made in a few pages, such as a small, focused
contribution, a negative result, or an interesting application nugget. 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.
- Extended abstracts must be at most two pages including references 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. A dedicated poster session will be
hosted, allowing students to get feedback and discuss their work with a broad
and multidisciplinary community.
Multiple Submissions
ArgMining 2025 will not consider any paper under review in a journal or another
conference or workshop at the time of submission, and submitted papers must not
be submitted elsewhere during the review period.
ArgMining 2025 will also accept submissions of ARR-reviewed papers, provided
that the ARR reviews and meta-reviews are available by the ARR commitment
deadline (May 21). However, ArgMining 2025 will not accept direct submissions
that are actively under review in ARR, or that overlap significantly (>25%)
with such submissions.
Submission Format
All long, short, and demonstration submissions must follow the two-column ACL
2025 format. Authors are expected to use the LaTeX or Microsoft Word style
template (https://github.com/acl-org/acl-style-files). Submissions must conform
to the official ACL style guidelines contained in these templates. Submissions
must be electronic and in PDF format.
Submission Link and Deadline For Direct Submissions
Authors have to fill in the submission form in the OpenReview system and upload
a PDF of their paper before April 17, 2025, 11:59 pm UTC-12h (anywhere on
earth).
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/ArgMining
For the ARR commitment process, we will provide details in our second call for
papers.
Double Blind Review
ArgMining 2025 will follow the ACL policies for preserving the integrity of
double-blind review for long and short paper submissions. Papers must not
include authors’ names and affiliations. Furthermore, self-references or links
(such as GitHub) that reveal the author’s identity, e.g., “We previously showed
(Smith, 1991) …” must be avoided. Instead, use citations such as “Smith
previously showed (Smith, 1991) …” Papers that do not conform to these
requirements will be rejected without review. Papers should not refer, for
further detail, to documents that are not available to the reviewers. For
example, do not omit or redact important citation information to preserve
anonymity. Instead, use the third person or named reference to this work, as
described above (“Smith showed” rather than “we showed”). Papers may be
accompanied by a resource (software and/or data) described in the paper, but
these resources should also be anonymized.
Unlike long and short papers, demo descriptions will not be anonymous. Demo
descriptions should include the authors’ names and affiliations, and
self-references are allowed.
ANONYMITY PERIOD (taken from the ACL call for papers in verbatim for the most
part)
We follow the ACL Policies for Review and Citation. Submissions must be
anonymized, but there is no anonymity period or limitation on posting or
discussing non-anonymous preprints while the work is under peer review.
BEST PAPER AWARD
In order to recognize significant advancements in argument mining science and
technology, ArgMining 2025 will include the Best Paper award. All papers at the
workshop are eligible for the best paper award, and a selection committee
consisting of prominent researchers in the fields of interest will select the
award recipients.
ArgMining 2025 ORGANIZING COMMITTEE
Elena Chistova, Laboratory for Analysis and Controllable Text Generation
Technologies, RAS
Philipp Cimiano, Bielefeld University
Shohreh Haddadan, Machine learning department, Moffitt Cancer Center
Gabriella Lapesa, Leibniz Institute for the Social Sciences (GESIS), Cologne,
and Heinrich-Heine University Düsseldorf
Ramon Ruiz-Dolz, Centre for Argument Technology (ARG-tech), University of Dundee
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