Argument Mining Workshop 2025

December 6th 2024 Call for Shared Task is out

December 6th 2024 The official ArgMining 2025 website is launched.

Argument Mining (also known as “argumentation mining”) is an emerging research area within computational linguistics that started with focusing on automatically identifying and classifying argument elements, covering several text genres such as legal documents, news articles, online debates, scholarly data, and many more. In recent years, the field (broadly Computational Argumentation) has grown to explore argument quality and synthesis on many levels. The field offers practical uses such as argument-focused search and debating technologies, e.g., IBM Project Debater. The growing interest in computational argumentation has led to several tutorials at major NLP conferences.

Besides providing a forum to discuss and exchange cutting edge research in this field, a secondary goal of this year's edition will be to broaden the disciplinary scope of the workshop by inviting other disciplines (e.g., (computational) social and political science, psychology, humanities) as well as other subareas of NLP to actively participate in the workshop and further shaping the field of argument mining. In particular, we would like to create synergies between the fields of argument mining and natural language reasoning.

Important Dates

Workshop: July 31st or August 1st, 2025
Direct paper submission due : TBA
Commitment deadline for ARR papers : TBA
Notification of acceptance: TBA
Camera-ready papers due: TBA

All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).

Submission Topics

The topics for submissions include but are not limited to:

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 with respect to 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)

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

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)

Call for Shared Task Proposals

We cordially invite submissions of shared tasks as part of ArgMining 2025, the “12th Workshop on Argument Mining”. The workshop will be co-located with ACL 2025 (to be held in Vienna, Austria).

Argument mining (also known as “argumentation mining”) is a gradually maturing research area within computational linguistics. It involves the automatic identification of argumentative structures in free text, as well as argument quality assessment, argument persuasiveness, and the synthesis of argumentative texts.

To advance research on specific aspects of argument mining, previous editions of the ArgMining workshop series have promoted shared tasks, including key point analysis for quantitative summarization of arguments (see Argmining 2021 ), the validity and novelty of arguments (see Argmining 2022), multimodal argument mining and pragmatic tagging of peer reviews (see Argmining 2023, and argument mining considering perspective and dialogical aspects (see Argmining 2024).

Following the success of previous workshops, ArgMining 2025 plans to share one or more unsolved problems to be investigated by the community.

Proposals for shared tasks should include:

a title and a brief description of the task
a description of the datasets that will be used in the task and their readiness, and a proposed plan for data collection and annotation
previous work on the datasets, including publications (if any)
a few lines regarding evaluation of the submitted systems
a brief introduction of the task organizers

Shared task organizers will have the opportunity to publish a task overview paper in the workshop proceedings.

Please submit your shared task proposal via email to argmining.org2025 [at] gmail.com. The submission deadline is January 7th, 2025, and task organizers will be notified of proposal acceptance on January 19th.

While exact dates are not yet available, we assume the following tentative schedule: