BabelNet: the Automatic Construction, Evaluation and Application of a Wide-Coverage Multilingual Semantic Network


Navigli, Roberto ; Ponzetto, Simone Paolo


DOI: 10.1016/j.artint.2012.07.001
URL: http://www.sciencedirect.com/science/article/pii/S...
Additional URL: http://wwwusers.di.uniroma1.it/~ponzetto/pubs/navi...
Document Type: Article
Year of publication: 2012
The title of a journal, publication series: Artificial Intelligence
Volume: 193
Page range: 217-250
Place of publication: Amsterdam
Publishing house: Elsevier
ISSN: 0004-3702
Publication language: English
Institution: School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15)
Subject: 004 Computer science, internet
Abstract: We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the integration of lexicographic and encyclopedic knowledge from WordNet and Wikipedia. In addition, Machine Translation is applied to enrich the resource with lexical information for all languages. We first conduct in vitro experiments on new and existing gold-standard datasets to show the high quality and coverage of BabelNet. We then show that our lexical resource can be used successfully to perform both monolingual and cross-lingual Word Sense Disambiguation: thanks to its wide lexical coverage and novel semantic relations, we are able to achieve state-of the-art results on three different SemEval evaluation tasks.

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.




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Navigli, Roberto ; Ponzetto, Simone Paolo (2012) BabelNet: the Automatic Construction, Evaluation and Application of a Wide-Coverage Multilingual Semantic Network. Artificial Intelligence 193 217-250 [Article]



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