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)
- ,
- ,
- 巻
- 4938 LNAI
- 号
- 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
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- 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
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- DOI : 10.1007/978-3-540-78159-2_8
- ISSN : 0302-9743
- eISSN : 1611-3349
- SCOPUS ID : 40549093951
- Web of Science ID : WOS:000253958000008