DocumentCode :
1910460
Title :
Effect of Word Sets with Non-Taxonomical Relation for Retrieval Support
Author :
Yamamoto, Eiko ; Isahara, Hitoshi
Author_Institution :
Nat. Inst. of Inf. & Commun. Technol., Kyoto
fYear :
2007
fDate :
Aug. 30 2007-Sept. 1 2007
Firstpage :
407
Lastpage :
412
Abstract :
At least two kinds of relations exist among related words: the taxonomical relation and the thematic relation. However, although words with a taxonomical relation are easy to identify from linguistic resources such as dictionaries and thesauri, words with a thematic relation are difficult to identify because they are rarely maintained in linguistic resources. In this paper, we present a method of extracting thematically (non-taxonomically) related word sets among words for retrieval support by employing case-marking articles derived from syntactic analysis. For verifying the capability of such word sets, we compared the results retrieved with words related only taxonomically and those retrieved with words including a word related non-taxonomically to the other words. We found additional term which is thematically related to other terms is effective at retrieving informative pages.
Keywords :
computational linguistics; information analysis; information retrieval; natural language processing; case-marking articles; dictionaries; linguistic resources; nontaxonomical relation; retrieval support; syntactic analysis; thematic relation; thesauri; word sets; words; Communications technology; Computational linguistics; Dairy products; Data mining; Dictionaries; Information retrieval; Layout; Natural language processing; Pediatrics; Thesauri;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1611-0
Electronic_ISBN :
978-1-4244-1611-0
Type :
conf
DOI :
10.1109/NLPKE.2007.4368063
Filename :
4368063
Link To Document :
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