Graded relevance ranking for synonym discovery

Authors:
Andrew Yates;Nazli Goharian;Ophir Frieder
Affiliations:
Georgetown University, Washington, DC, USA;Georgetown University, Washington, DC, USA;Georgetown University, Washington, DC, USA
Venue:
Proceedings of the 22nd international conference on World Wide Web companion
Year:
2013

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Abstract

Interest in domain-specific search is steadfastly increasing, yielding a growing need for domain-specific synonym discovery. Existing synonym discovery methods perform poorly when faced with the realistic task of identifying a target term's synonyms from among many candidates. We approach domain-specific synonym discovery as a graded relevance ranking problem in which a target term's synonym candidates are ranked by their quality. In this scenario a human editor uses each ranked list of synonym candidates to build a domain-specific thesaurus. We evaluate our method for graded relevance ranking of synonym candidates and find that it outperforms existing methods.