Presentation 2013/6/20
NegFinder : A Web Service for Identifying Negation Signals and Their Scopes
KAZUKI FUJIKAWA, KAZUHIRO SEKI, KUNIAKI UEHARA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) More and more biomedical documents are digitally written and stored. To make the most of the rich resources, it is crucial to precisely locate the information pertinent to user's interests. An obstacle in finding information in natural language text is negations, which deny or reverse the meaning of a sentence. This is especially problematic in the biomedical domain since scientific findings and clinical records often contain negated expressions to state negative effects or the absence of symptoms. This paper reports on our work on a hybrid approach to negation identification combining statistical and heuristic approaches and describes an implementation of the approach, named NegFinder, as a Web service.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Scope boundaries / heuristics / supervised classification / API
Paper # Vol.2013-BIO-34 No.12
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) NegFinder : A Web Service for Identifying Negation Signals and Their Scopes
Sub Title (in English)
Keyword(1) Scope boundaries
Keyword(2) heuristics
Keyword(3) supervised classification
Keyword(4) API
1st Author's Name KAZUKI FUJIKAWA
1st Author's Affiliation Kobe University()
2nd Author's Name KAZUHIRO SEKI
2nd Author's Affiliation Kobe University
3rd Author's Name KUNIAKI UEHARA
3rd Author's Affiliation Kobe University
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.12
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 4
Date of Issue