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Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data

, , and . Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation, page 65--77. Abu Dhabi, UAE, International Committee on Computational Linguistics, (January 2025)

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