BabelDomains: Large-Scale Domain Labeling of Lexical Resources

Jose Camacho-Collados, Roberto Navigli


Abstract
In this paper we present BabelDomains, a unified resource which provides lexical items with information about domains of knowledge. We propose an automatic method that uses knowledge from various lexical resources, exploiting both distributional and graph-based clues, to accurately propagate domain information. We evaluate our methodology intrinsically on two lexical resources (WordNet and BabelNet), achieving a precision over 80% in both cases. Finally, we show the potential of BabelDomains in a supervised learning setting, clustering training data by domain for hypernym discovery.
Anthology ID:
E17-2036
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
223–228
Language:
URL:
https://aclanthology.org/E17-2036
DOI:
Bibkey:
Cite (ACL):
Jose Camacho-Collados and Roberto Navigli. 2017. BabelDomains: Large-Scale Domain Labeling of Lexical Resources. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 223–228, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
BabelDomains: Large-Scale Domain Labeling of Lexical Resources (Camacho-Collados & Navigli, EACL 2017)
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PDF:
https://aclanthology.org/E17-2036.pdf