List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).

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Back Espinosa-Anke L, Carlini R, Ronzano F, Saggion H. DEFEXT: A Semi Supervised Definition Extraction Tool. Globalex: Lexicographic Resources for Human Language Technology

Espinosa-Anke L, Carlini R, Ronzano F, Saggion H. DEFEXT: A Semi Supervised Definition Extraction Tool. Globalex: Lexicographic Resources for Human Language Technology

We present DEFEXT, an easy to use semi supervised Definition Extraction Tool. DEFEXT is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core features, i.e. its definition. It works on the back of a Conditional Random Fields based sequential labeling algorithm and a bootstrapping approach. Bootstrapping enables the model to gradually become more aware of the idiosyncrasies of the target corpus. In this paper we describe the main components of the toolkit as well as experimental results stemming from both automatic and manual evaluation. We release DEFEXT as open source along with the necessary files to run it in any Unix machine. We also provide access to training and test data for immediate use.

Keywords: bootstrapping, crf, definition extraction, lexicography, Machine learning

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