SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus

By Sasha Spala, Nicholas A. Miller, Franck Dernoncourt, Carl Dockhorn. 2020

31 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Information Extraction

Citations in the corpus

• Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections (2021, neutral): “#feminism #SemST" SemEval 2020 Task 6 (Spala et al., 2020).”
• Meta-tuning Language Models to Answer Prompts Better (2021, unknown): “#feminism #SemST " SemEval 2020 Task 6 (Spala et al., 2020).”