Crowdsourcing synset relations with genus-species-match

Ustalov, Dmitry

DOI:	https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382980
URL:	https://www.researchgate.net/publication/304291894...
Weitere URL:	https://www.fruct.org/publications/ainl-fruct/file...
Dokumenttyp:	Konferenzveröffentlichung
Erscheinungsjahr:	2015
Buchtitel:	Proceedings of Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW) FRUCT Conference : 9-14 November 2015, St. Petersburg, Russia
Seitenbereich:	118-124
Veranstaltungstitel:	2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)
Veranstaltungsort:	Saint Petersburg, Russia
Veranstaltungsdatum:	November 9-14, 2015
Ort der Veröffentlichung:	Piscataway, NJ
Verlag:	IEEE
ISBN:	978-1-4673-8476-6 , 978-9-5268-3970-7 , 978-952-68397-1-4
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
Fachgebiet:	004 Informatik
Abstract:	Enabling a domain-specific lexical resource is useful for improving the performance of a natural language processing system. However, such resources may be represented in the form of glossaries-terms provided with their sense definitions. Despite the problem of integrating such domain-specific glossaries into more sophisticated general purpose resources like thesuari being highly topical, it is complicated by ambiguity of the individual terms. This paper presents Genus-Species-Match, a crowdsourcing workflow for matching noisy pairs of synsets representing hyponymic/hypernymic relations. The system demonstrates F1 score of 80% on an experiment conducted on an online labor marketplace using the EMERCOM glossary and the Yet Another RussNet sense inventory.