Effect of word sets with non-taxonomical relation for retrieval support

被引：0

作者：

Yamamoto, Eiko ^{[1
]}

Isahara, Hitoshi ^{[1
]}

机构：

[1] Natl Inst Informat & Commun Technol, Computat Linguist Grp, 3-5 Hikaridai,Seika Cho, Kyoto 6190289, Japan

来源：

PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) | 2007年

关键词：

D O I：

10.1109/NLPKE.2007.4368063

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

At least two kinds of relations exist among related words: the taxonomical relation and the thematic relation. However, although words with a taxonomical relation arc 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 (nontaxonomically) 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.

引用

页码：407 / +

页数：2

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