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        <title>DEFT: A corpus for definition extraction in free- and semi-structured text</title>
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        <namePart type="given">Sasha</namePart>
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            <namePart type="given">Jet</namePart>
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    <abstract>Definition extraction has been a popular topic in NLP research for well more than a decade, but has been historically limited to well-defined, structured, and narrow conditions. In reality, natural language is messy, and messy data requires both complex solutions and data that reflects that reality. In this paper, we present a robust English corpus and annotation schema that allows us to explore the less straightforward examples of term-definition structures in free and semi-structured text.</abstract>
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%0 Conference Proceedings
%T DEFT: A corpus for definition extraction in free- and semi-structured text
%A Spala, Sasha
%A Miller, Nicholas A.
%A Yang, Yiming
%A Dernoncourt, Franck
%A Dockhorn, Carl
%Y Friedrich, Annemarie
%Y Zeyrek, Deniz
%Y Hoek, Jet
%S Proceedings of the 13th Linguistic Annotation Workshop
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F spala-etal-2019-deft
%X Definition extraction has been a popular topic in NLP research for well more than a decade, but has been historically limited to well-defined, structured, and narrow conditions. In reality, natural language is messy, and messy data requires both complex solutions and data that reflects that reality. In this paper, we present a robust English corpus and annotation schema that allows us to explore the less straightforward examples of term-definition structures in free and semi-structured text.
%R 10.18653/v1/W19-4015
%U https://aclanthology.org/W19-4015
%U https://doi.org/10.18653/v1/W19-4015
%P 124-131

Markdown (Informal)

[DEFT: A corpus for definition extraction in free- and semi-structured text](https://aclanthology.org/W19-4015) (Spala et al., LAW 2019)

• DEFT: A corpus for definition extraction in free- and semi-structured text (Spala et al., LAW 2019)

ACL

• Sasha Spala, Nicholas A. Miller, Yiming Yang, Franck Dernoncourt, and Carl Dockhorn. 2019. DEFT: A corpus for definition extraction in free- and semi-structured text. In Proceedings of the 13th Linguistic Annotation Workshop, pages 124–131, Florence, Italy. Association for Computational Linguistics.