ScholarGate
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Process / pipeline

否定检测 — 识别文本中未发生的事情

否定检测是一项自然语言处理任务,它在文本中定位否定线索——诸如“不”、“没有”、“无”或“否认”等词语或短语——并确定这些线索所反转含义的文本范围(作用域)。Chapman 等人(2001 年)通过 NegEx 算法将其形式化用于临床文本,Morante 和 Daelemans(2009 年)将其扩展到生物医学文献中的作用域学习,无论何处,当一个发现的存在与明确排除该发现之间存在差异并产生实际后果时,该方法都至关重要。

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来源

  1. Chapman, W.W., Bridewell, W., Hanbury, P., Cooper, G.F., & Buchanan, B.G. (2001). A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. Journal of the American Medical Informatics Association, 8(6), 606-614. DOI: 10.1006/jbin.2001.1029
  2. Morante, R. & Daelemans, W. (2009). Learning the Scope of Hedge Cues in BioMedical Texts. Proceedings of the BioNLP 2009 Workshop, Association for Computational Linguistics, 28-36. link

如何引用本页

ScholarGate. (2026, June 1). Negation Detection (Negation Scope Identification). ScholarGate. https://scholargate.app/zh/text-mining/negation-detection

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateNegation Detection (Negation Detection (Negation Scope Identification)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/negation-detection · 数据集: https://doi.org/10.5281/zenodo.20539026