Presentation 2008/7/10
Extraction of description about person by two-staged refinement using machine larning
Akiomi NISHIDA, Tatsunori MORI,
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Abstract(in English) We propose a method of extracting descriptions about a person from text by machine larning. It is intended to be utilized in the question-answering about person. This method is based on a multistage system that consists of two types of classifiers. The earlier classifier judges whether each passage includes description about a person or not. The later one decided the exact extent of the description in passages extracted by the earlier classifier. The experimental result shows that the proposed method is more accurate than the one-staged chunking method based on the labeling on a sentence sequence.
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Keyword(in English) Question-answering / Machine learning / Information extraction of person information / Two-staged Refinement
Paper # NLC2008-14
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Committee NLC
Conference Date 2008/7/10(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) Extraction of description about person by two-staged refinement using machine larning
Sub Title (in English)
Keyword(1) Question-answering
Keyword(2) Machine learning
Keyword(3) Information extraction of person information
Keyword(4) Two-staged Refinement
1st Author's Name Akiomi NISHIDA
1st Author's Affiliation Graduate School of Environment and Information Sciences, Yokohama National University()
2nd Author's Name Tatsunori MORI
2nd Author's Affiliation Graduate School of Environment and Information Sciences, Yokohama National University
Date 2008/7/10
Paper # NLC2008-14
Volume (vol) vol.108
Number (no) 141
Page pp.pp.-
#Pages 6
Date of Issue