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。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- 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 ↗
- 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.
- 临床文本挖掘文本挖掘↔ compare
- 共指消解文本挖掘↔ compare
- 依存句法分析文本挖掘↔ compare
- 信息抽取文本挖掘↔ compare
- 命名实体识别 (NER)文本挖掘↔ compare
- 情感分析文本挖掘↔ compare