@inproceedings{spala-etal-2020-semeval,
title = "{S}em{E}val-2020 Task 6: Definition Extraction from Free Text with the {DEFT} Corpus",
author = "Spala, Sasha and
Miller, Nicholas and
Dernoncourt, Franck and
Dockhorn, Carl",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.41/",
doi = "10.18653/v1/2020.semeval-1.41",
pages = "336--345",
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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<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.</abstract>
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%0 Conference Proceedings
%T SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus
%A Spala, Sasha
%A Miller, Nicholas
%A Dernoncourt, Franck
%A Dockhorn, Carl
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F spala-etal-2020-semeval
%X 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.
%R 10.18653/v1/2020.semeval-1.41
%U https://aclanthology.org/2020.semeval-1.41/
%U https://doi.org/10.18653/v1/2020.semeval-1.41
%P 336-345
Markdown (Informal)
[SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus](https://aclanthology.org/2020.semeval-1.41/) (Spala et al., SemEval 2020)
ACL