DEFT: A corpus for definition extraction in free-and semi-structured text


Publication date: August 1, 2019

Sasha Spala, Nicholas A Miller, Yiming Yang, Franck Dernoncourt, Carl Dockhorn

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.

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Research Area:  Adobe Research iconNatural Language Processing