論文

査読有り 筆頭著者
2008年

Identifying semantic relations in Japanese compound nouns for patent documents analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Kiyoko Uchiyama
  • ,
  • Shunsuke Aihara
  • ,
  • Shun Ishizaki

4938 LNAI
開始ページ
75
終了ページ
81
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-540-78159-2_8
出版者・発行元
SPRINGER-VERLAG BERLIN

The purpose of this study is to establish a method for identifying semantic relations in compound nouns in patent documents by using linguistic information. The information such as grammatical or semantic features plays a key role for analyzing semantic relations in compound nouns. We used the information about immediately succeeding case particles, adjective-forming suffixes and a verb suru "do" as grammatical features, concept classifications in EDR dictionary as semantic features. The performance of the fully automated statistical method was found to be good at 84% by using both grammatical and semantic features. This result shows advantage of our method. © 2008 Springer-Verlag Berlin Heidelberg.

リンク情報
DOI
https://doi.org/10.1007/978-3-540-78159-2_8
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000253958000008&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=40549093951&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=40549093951&origin=inward
ID情報
  • DOI : 10.1007/978-3-540-78159-2_8
  • ISSN : 0302-9743
  • eISSN : 1611-3349
  • SCOPUS ID : 40549093951
  • Web of Science ID : WOS:000253958000008

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