Domain-Specific Term-List Expansion Using Existing Linguistic Resources

TitleDomain-Specific Term-List Expansion Using Existing Linguistic Resources
Publication TypeReports
Year of Publication2002
AuthorsDorr BJ, Zhao T
Date Published2002/08//
InstitutionInstititue for Advanced Computer Studies, Univ of Maryland, College Park
Keywords*LEXICOGRAPHY, *LINGUISTICS, AUTOMATIC, CHINA, COMPARISON, EXTRACTION, HANDS, knowledge based systems, linguistics, resources, WORDS(LANGUAGE)
Abstract

This report describes a series of experiments involving expansion of a domain-specific human-generated "seed list" using available linguistic resources. The resources used for the expansion are intended to be general purpose: two large-scale Chinese-English dictionaries and a Chinese lexical knowledge base (HowNet). The methodology involves three steps: (1) hand extraction of head words from each entry in the human-generated seed list; (2) automatic comparison of these head words against entries in the linguistic resources-where an entry matches if the head word matches the entry exactly or is included in its the semantic definition; and (3) collection of any resulting matching entries into a larger term list. The terms extracted by this process were verified manually to confirm whether they were relevant to the topic of a specific domain. An important contribution of this work is the finding that the use of a bilingual term list for the expansion proces does not provide a significant improvement over the use of a simpler, more easily produced, monoligual term list.

URLhttp://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA525800