文章基本信息

标题：NegFinder: A Web Service for Identifying Negation Signals and Their Scopes
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作者：Kazuki Fujikawa ; Kazuhiro Seki ; Kuniaki Uehara 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2013
卷号：8
期号：3
页码：884-889
DOI：10.11185/imt.8.884
出版社：Information and Media Technologies Editorial Board
摘要：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.
关键词：scope boundaries;heuristics;supervised classification;API