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    <abstract>We asked task participants to solve two subtasks given a pair of word usages: Ordinal Graded Word-in-Context Classification (OGWiC) and Disagreement in Word-in-Context Ranking (DisWiC). The tasks take a different view on modeling of word meaning by (i) treating WiC as an ordinal classification task, and (ii) making disagreement the explicit detection aim (instead of removing it). OGWiC is solved with relatively high performance while DisWiC proves to be a challenging task. In both tasks, the dominating model architecture uses independently optimized binary Word-in-Context models.</abstract>
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%0 Conference Proceedings
%T CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments
%A Schlechtweg, Dominik
%A Choppa, Tejaswi
%A Zhao, Wei
%A Roth, Michael
%Y Roth, Michael
%Y Schlechtweg, Dominik
%S Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation
%D 2025
%8 January
%I International Committee on Computational Linguistics
%C Abu Dhabi, UAE
%F schlechtweg-etal-2025-comedi
%X We asked task participants to solve two subtasks given a pair of word usages: Ordinal Graded Word-in-Context Classification (OGWiC) and Disagreement in Word-in-Context Ranking (DisWiC). The tasks take a different view on modeling of word meaning by (i) treating WiC as an ordinal classification task, and (ii) making disagreement the explicit detection aim (instead of removing it). OGWiC is solved with relatively high performance while DisWiC proves to be a challenging task. In both tasks, the dominating model architecture uses independently optimized binary Word-in-Context models.
%U https://aclanthology.org/2025.comedi-1.4/
%P 33-47

Markdown (Informal)

[CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments](https://aclanthology.org/2025.comedi-1.4/) (Schlechtweg et al., CoMeDi 2025)

• CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments (Schlechtweg et al., CoMeDi 2025)

ACL

• Dominik Schlechtweg, Tejaswi Choppa, Wei Zhao, and Michael Roth. 2025. CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments. In Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation, pages 33–47, Abu Dhabi, UAE. International Committee on Computational Linguistics.