Call for Shared Task Proposals We cordially invite submissions for shared task proposals as part of ArgMining 2027.
To advance research on specific aspects of argument mining, previous editions of the ArgMining workshop series have promoted shared tasks. These have addressed, for example, understanding argumentative structure in highly formal, legal-political UN resolutions (see https://shared-task-argmining.linguistik.uzh.ch/) and multimodal argumentative fallacy detection (see https://nlp-unibo.github.io/mm-argfallacy/2025/). Following the success of previous workshops, ArgMining 2027 plans to share one or more unsolved problems to be investigated by the community. In keeping with this year's special topic of Argumentation in Agentic and Human-AI Settings, we particularly encourage submissions focusing on this theme. Proposal Format The shared task proposal should be compiled in a PDF of at most two pages, excluding references, using the ACL template. 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, including previous work on the datasets and publications (if any); * The proposed evaluation of the submitted systems; * A brief introduction of the task organizers; * Anticipated dates for releasing datasets and final evaluation. Submission Please submit your shared task proposal PDF via email to argmining.org [at] gmail.com. The submission deadline is October 31, 2026. Task organizers will be notified of proposal acceptance a couple of days after this deadline in order to stick to the tight timeline. Tentative Schedule * We recommend the following tentative schedule: * Start of November: Training data release * Start of December: Test data release, evaluation start * Mid-December: Evaluation end * Mid-December: Results announcement * End of December: Paper submission due * Mid-January: Camera-ready version due * March 9–14: ArgMining 2027 workshop (EACL) Workshop organizers: 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)
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