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Abstract: In this paper we introduce a novel method of automating thesauri using syntactically constrained distributional similarity. With respect to syntactically conditioned co-occurrences, most popular approaches to automatic thesaurus construction simply ignore the salience of grammatical relations and effectively merge them into one united 'context'. We distinguish semantic differences of each syntactic dependency and propose to generate thesauri through word overlapping across major types of grammatical relations. The encouraging results show that our proposal can build automatic thesauri with significantly higher precision than the traditional methods.

To cite this article: Yang, Dongqiang and Powers, David MW. Using Grammatical Relations to Automate Thesaurus Construction [online]. Journal of Research and Practice in Information Technology, Vol. 42, No. 2, 2010: 129-146. Availability: <http://search.informit.com.au/documentSummary;dn=448235738201280;res=IELHSS> ISSN: 1443-458X. [cited 23 Jun 17].

Personal Author: Yang, Dongqiang; Powers, David MW; Source: Journal of Research and Practice in Information Technology, Vol. 42, No. 2, 2010: 129-146 DOI: Document Type: Journal Article ISSN: 1443-458X Subject: Information storage and retrieval systems; Text processing (Computer science); Grammar, Comparative and general--Parsing; Lexical grammar--Data processing; Peer Reviewed: Yes Affiliation: (1) Research Fellow, School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, PO Box 2100, SA 5001, Adelaide, email: Dongqiang.Yang@flinders.edu.au
(2) Professor, School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, PO Box 2100, SA 5001, Adelaide, email: David.Powers@flinders.edu.au

Database: Humanities & Social Sciences Collection