Presentation 2000/5/22
Passage Retrieval Using Field Remindng Words
Masami SHISHIBORI, Yasuyuki NAKATANI, Toshihiko IKEDA, Jun-ichi AOE,
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Abstract(in English) Pasage Retrieval is the very useful technique for various natural language processing systems, such as information retrieval systems, spoken dialogue systems and Kana-to-Kanji conversion systems. This paper propose the method to decide the passages using the field reminding words, which can be directly related to the field of a text. This method decides the range of the passage based on five association levels and positions of field reminding words which appear in the text, and the topic field of each passage is specified by the field name which these words are associated with. Moreover, the algorithm proposed in this paper can be avoid the overlap between neighboring passages.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Passage Retrieval / Passage Categorization / Field Reminding Word / Text Segmentation / Text Tailing
Paper # NLC2000-2
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Committee NLC
Conference Date 2000/5/22(1days)
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Paper Information
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) Passage Retrieval Using Field Remindng Words
Sub Title (in English)
Keyword(1) Passage Retrieval
Keyword(2) Passage Categorization
Keyword(3) Field Reminding Word
Keyword(4) Text Segmentation
Keyword(5) Text Tailing
1st Author's Name Masami SHISHIBORI
1st Author's Affiliation Department of Information Science & Inteligent Systems, Faculty of Engineering, Tokushima University()
2nd Author's Name Yasuyuki NAKATANI
2nd Author's Affiliation Department of Information Science & Inteligent Systems, Faculty of Engineering, Tokushima University
3rd Author's Name Toshihiko IKEDA
3rd Author's Affiliation Department of Information Science & Inteligent Systems, Faculty of Engineering, Tokushima University
4th Author's Name Jun-ichi AOE
4th Author's Affiliation Department of Information Science & Inteligent Systems, Faculty of Engineering, Tokushima University
Date 2000/5/22
Paper # NLC2000-2
Volume (vol) vol.100
Number (no) 100
Page pp.pp.-
#Pages 8
Date of Issue