Presentation 2007/7/17
Hierarchical Structurization of Japanese Composite Terms based on Nesting Relations
Teruo KOAYAMA, Koichi TAKEUCHI,
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Abstract(in English) We introduce a method for structurizing term candidates extracted from a Japanese domain corpus, based on nesting relations between the candidates. Prom the nesting relations, we can infer hypernym-hyponym relations and related term relations. Arranging both relations separately, we can get clearer hierarchical relations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Term Extraction / Term Structurization / Term Hierarchy
Paper # NLC2007-9
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Committee NLC
Conference Date 2007/7/17(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hierarchical Structurization of Japanese Composite Terms based on Nesting Relations
Sub Title (in English)
Keyword(1) Term Extraction
Keyword(2) Term Structurization
Keyword(3) Term Hierarchy
1st Author's Name Teruo KOAYAMA
1st Author's Affiliation National Institute of Informatics()
2nd Author's Name Koichi TAKEUCHI
2nd Author's Affiliation Okayama University, Graduate School of Natural Science and Technology
Date 2007/7/17
Paper # NLC2007-9
Volume (vol) vol.107
Number (no) 158
Page pp.pp.-
#Pages 6
Date of Issue