NegFinder: A Web Service for Identifying Negation Signals and Their Scopes

• Item type: SIG Technical Reports(1)
• 公開日: 2013-06-20
• タイトル: NegFinder: A Web Service for Identifying Negation Signals and Their Scopes
• タイトル / 言語: en
• タイトル: NegFinder: A Web Service for Identifying Negation Signals and Their Scopes
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 一般（BIO）
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Kobe University
• 著者所属: Kobe University
• 著者所属: Kobe University
• 著者所属(英): en
• 著者所属(英): Kobe University
• 著者所属(英): en
• 著者所属(英): Kobe University
• 著者所属(英): en
• 著者所属(英): Kobe University
• 著者名: Kazuki, Fujikawa; Kazuhiro, Seki; Kuniaki, Uehara
• 著者名(英): Kazuki, Fujikawa; Kazuhiro, Seki; Kuniaki, Uehara
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12055912
• 書誌情報: 研究報告バイオ情報学（BIO）; 巻 2013-BIO-34, 号 12, p. 1-4, 発行日 2013-06-20
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会