Abstract
Research on definition extraction has been conducted for well over a decade, largely with significant constraints on the type of definitions considered. In this work, we present DeftEval, a SemEval shared task in which participants must extract definitions from free text using a term-definition pair corpus that reflects the complex reality of definitions in natural language. Definitions and glosses in free text often appear without explicit indicators, across sentences boundaries, or in an otherwise complex linguistic manner. DeftEval involved 3 distinct subtasks: 1) Sentence classification, 2) sequence labeling, and 3) relation extraction.
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CITATION STYLE
Spala, S., Miller, N. A., Dernoncourt, F., & Dockhorn, C. (2020). SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus. In 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings (pp. 336–345). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.41
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