Presentation	2006-07-27 A Method of Person Name Identification using Organization Information Toshiko Aizono,
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Abstract(in English)	In this paper, I describe the identification issue of person name which appeared in text. I explore 5,778 person names which are extracted from 7,600 sales reports, 55% of them are ambiguous due to multiple candidates in identifiable person list. Also this result shows 52 people with the same surname at the maximum may be treated as one person. In order to resolve this problem, I propose an algorithm using organization name which co-occur with person name in the same sentence. In an experiment using the sales reports, 89% of the ambiguous person names are identified correctly.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Person Name / Identification / Ambiguity / Organization
Paper #	NLC2006-1
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Committee	NLC
Conference Date	2006/7/20(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)	A Method of Person Name Identification using Organization Information
Sub Title (in English)
Keyword(1)	Person Name
Keyword(2)	Identification
Keyword(3)	Ambiguity
Keyword(4)	Organization
1st Author's Name	Toshiko Aizono
1st Author's Affiliation	Central Research Laboratory, Hitachi, Ltd.()
Date	2006-07-27
Paper #	NLC2006-1
Volume (vol)	vol.106
Number (no)	190
Page	pp.pp.-
#Pages	6
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