Information and Media Technologies
Online ISSN : 1881-0896
ISSN-L : 1881-0896
Information Systems and Applications
NegFinder: A Web Service for Identifying Negation Signals and Their Scopes
Kazuki FujikawaKazuhiro SekiKuniaki Uehara
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2013 Volume 8 Issue 3 Pages 884-889


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.

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© 2013 Information Processing Society of Japan
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