The 11th Workshop on Argument Mining


August 15, 2024

Co-located with ACL 2024 in Bangkok, Thailand

17 May 2024. !!! Deadline Extension !!! 17th of May AOE 20th of May AOE.

16 May 2024. If you already have your paper reviewed as part of ARR, you can now commit it to ArgMining2024 by the 24th of May AOE!

21 February 2023. The Perspective Argument Retrieval Shared Task launched their Website!

19 February 2023. DialAM Shared Task launched their Website!

7 February 2023. Check the Important Dates! Paper Submission via OpenReview by May 17, 2024

7 February 2023. The 1st Call for Papers is out!

7 February 2023. We are excited to announce the two Shared Tasks @ArgMining2024

7 December 2023. Call for Shared Task is out

7 December 2023. The official ArgMining 2024 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.

While basic tasks such as argument element segmentation and classification are becoming mature, many current and emerging tasks in diverse genres and topics still need to be solved, amidst global polarization and the emergence of Large Language Models.

Important Dates

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

Submission Topics

The topics for submissions include but are not limited to:

CALL FOR PAPERS

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 ten successful previous workshops, this edition will welcome the submission of long, short, and demo papers. Also, it will feature two shared tasks and a keynote talk.

Check DATES and TOPICS.

Submission Details

The organizing committee welcomes submitting long papers, short papers, and demo descriptions. Accepted papers will be presented via oral or poster presentations and included in the ACL proceedings as workshop papers.

Multiple Submissions

ArgMining 2024 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 2024 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline (May 24). However, ArgMining 2024 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 2024 format. Authors are expected to use the LaTeX or Microsoft Word style template. Submissions must be electronic and in PDF format.

Submission Link

Authors have to fill in the submission form in the OpenReview system and upload a PDF of their paper here before May 17, 2024, 11:59 pm UTC-12h (anywhere on earth). [ Submission Link]

Double Blind Review

ArgMining 2024 will follow the ACL policies 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.
No Anonimity Period (taken from the ACL call for papers in verbatim for the most part) 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 2024 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.

Shared Tasks

The Argument Miming Workshop will be hosting two shared tasks.

1. The Perspective Argument Retrieval Shared Task

Organizers : Neele Falk from the University of Stuttgart, and Andreas Waldis from the Ubiquitous Knowledge Processing (UKP) Technical University of Darmstadt, and Infomration System Lab, Lucerne University of Applied Science and Arts.

Overview: The "Perspective Argument Retrieval" task addresses the often-overlooked challenge of incorporating socio-demographic information (such as political views, age, and gender) in argument retrieval. By focusing on these aspects, we acknowledge their potential latent influence on argumentation. With this shared task, we invite the community to develop methods that concentrate on this crucial area and advance state-of-the-art retrieval models by considering the perspective of societal diversity.

All the details regarding the shared task can be found at the Perspective Argument Retrieval Shared Task Website.

2. DialAM-2024: The First Shared Task on Dialogical Argument Mining

Organizers: Ramon Ruiz-Dolz, John Lawrence, Ella Schad and Chris Reed from the Centre for Argument Technology in the University of Dundee.

Overview: With the DialAM-2024 task, we propose the first shared task in dialogue argument mining where argumentation and dialogue information is modelled together in a domain-independent framework. The Inference Anchoring Theory (IAT) framework, makes possible to obtain homogeneous annotations of dialogue argumentation including relevant information and structural data from speech and argumentation, regardless of the domain, and allowing a more complete analysis of argumentation in dialogues together with a consistent cross-domain evaluation of the resulting argument mining systems. The DialAM-2024 consists of two sub-tasks: the identification of propositional (argumentative) relations, and the identification of illocutionary (speech act) relations. For both tasks all the information belonging to argumentation and dialogue will be available for the development of the submitted systems. We invite the community to participate in the DialAM-2024 task and explore how the use of additional information from the dialogue can be integrated into the argument mining process, in an attempt to take a step forward from sequence modelling approaches, where much of the relevant information to argumentation remains implicit behind the natural language.

All the details regarding the shared task can be found at the DialAM Shared Task Website.

Committee

Organizing Committee

Past Workshops

Policy

We abide by the ACL anti-harassment policy.