DEFT: A corpus for definition extraction in free- and semi-structured text
Sasha Spala, Nicholas A. Miller, Yiming Yang, Franck Dernoncourt, Carl Dockhorn · 2019
Definition extraction has been a popular topic in NLP research for well more than a decade, but has been historically limited to welldefined, 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.