DefIE Babelfy


Open information extraction from textual definitions
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DefIE is an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions DefIE leverages syntactic dependencies to reduce data sparsity, then disambiguates the arguments and content words of the relation strings, and finally exploits the resulting information to organize the acquired relations hierarchically. The output is a high-quality knowledge base consisting of several million automatically acquired semantic relations.

Reference Paper

Claudio Delli Bovi, Luca Telesca and Roberto Navigli.
Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis. Transactions of the Association for Computational Linguistics (TACL), vol. 3, pages 529–543, 2015.

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Related papers and talks


Claudio Delli Bovi

Claudio Delli Bovi
dellibovi [at] di.uniroma1 [dot] it
bn:17381128n @ BabelNetbn:17381128n

Luca Telesca
luca [dot] telesca [at] gmail [dot] com

Luca Telesca

Roberto Navigli

Roberto Navigli
navigli [at] di.uniroma1 [dot] it
bn:09353187n @ BabelNetbn:09353187n


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