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Named Entity Recognition/Evidence
Method evidence record

Named Entity Recognition

Named entity recognition (NER) is a natural-language-processing task that automatically detects and labels entities in text — such as people, organisations, locations, and dates. Surveyed by Nadeau and Sekine (2007) and later advanced with neural architectures by Lample et al. (2016), it turns free-running text into tagged spans that downstream tools can use.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Named Entity Recognition (NER)
Taxonomic method record · process-pipeline / text-mining
  • Nadeau, D. & Sekine, S. (2007). A survey of named entity recognition. Lingvisticae Investigationes. · URL
  • Lample, G. et al. (2016). Neural Architectures for Named Entity Recognition. NAACL. · DOI 10.18653/v1/N16-1030
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyInformation Extractionmachine-suggested · Relational suggestion, not evidence.Same method familyRelation Extractionmachine-suggested · Relational suggestion, not evidence.Same method familyText Classificationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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