DocumentCode :
3731345
Title :
Crowdsourcing synset relations with Genus-Species-Match
Author :
Dmitry Ustalov
Author_Institution :
IMM UB RAS, Yekaterinburg, Russia
fYear :
2015
Firstpage :
118
Lastpage :
124
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.
Keywords :
Terminology
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015
Type :
conf
DOI :
10.1109/AINL-ISMW-FRUCT.2015.7382980
Filename :
7382980
Link To Document :
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