Process / pipeline
命名实体识别 (NER)
命名实体识别（NER）是一项自然语言处理任务，可自动检测和标记文本中的实体——例如人物、组织、地点和日期。该任务由Nadeau和Sekine（2007）进行综述，并由Lample等人（2016）通过神经网络架构进一步发展，它将自由文本转换为下游工具可以使用的标记跨度。
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来源
- Nadeau, D. & Sekine, S. (2007). A survey of named entity recognition. Lingvisticae Investigationes. link ↗
- Lample, G. et al. (2016). Neural Architectures for Named Entity Recognition. NAACL. DOI: 10.18653/v1/N16-1030 ↗
如何引用本页
ScholarGate. (2026, June 1). Named Entity Recognition (NER). ScholarGate. https://scholargate.app/zh/text-mining/named-entity-recognition
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