Presentation	2002/7/8 Difference Evaluation between Documents Using Topic Difference Factor Analysis Takahiko KAWATANI,
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Abstract(in English)	This paper proposes a method to extract distinctive parts that can represent major differences from a given document when the given document is compared with another document. The method is required to satisfy the following condition. That is, (1) the extracted part can not only represent the differences between both documents but also be important in the given document, (2) it can explain how the extracted part is distinctive, (3) it can obtain a distinctiveness score for each sentence or word. To satisfy these conditions, this paper adopts Topic Difference Factor Analysis (TDFA) proposed by the author. Through experiments that extract distinctive sentences from a given document when compared with a very similar document, validness of the method was confirmed.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Topic Difference Factor / TDFA / Document Difference / Distinctiveness
Paper #	NLC2002-16
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Conference Information
Committee	NLC
Conference Date	2002/7/8(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)	Difference Evaluation between Documents Using Topic Difference Factor Analysis
Sub Title (in English)
Keyword(1)	Topic Difference Factor
Keyword(2)	TDFA
Keyword(3)	Document Difference
Keyword(4)	Distinctiveness
1st Author's Name	Takahiko KAWATANI
1st Author's Affiliation	Hewlett-Packard Labs Japan Hewlett-Packard Japan()
Date	2002/7/8
Paper #	NLC2002-16
Volume (vol)	vol.102
Number (no)	199
Page	pp.pp.-
#Pages	6
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