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- Named-entity_recognition abstract "Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.Most research on NER systems has been structured as taking an unannotated block of text, such as this one:Jim bought 300 shares of Acme Corp. in 2006.And producing an annotated block of text that highlights the names of entities:[Jim]Person bought 300 shares of [Acme Corp.]Organization in [2006]Time.In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified.State-of-the-art NER systems for English produce near-human performance. For example, the best system entering MUC-7 scored 93.39% of F-measure while human annotators scored 97.60% and 96.95%.".
- Named-entity_recognition wikiPageExternalLink W09-1119.pdf.
- Named-entity_recognition wikiPageExternalLink NERA_paper.pdf?attredirects=0.
- Named-entity_recognition wikiPageExternalLink ner.
- Named-entity_recognition wikiPageExternalLink ner.
- Named-entity_recognition wikiPageID "1906608".
- Named-entity_recognition wikiPageRevisionID "602109606".
- Named-entity_recognition hasPhotoCollection Named-entity_recognition.
- Named-entity_recognition subject Category:Computational_linguistics.
- Named-entity_recognition subject Category:Tasks_of_natural_language_processing.
- Named-entity_recognition type Abstraction100002137.
- Named-entity_recognition type Act100030358.
- Named-entity_recognition type Activity100407535.
- Named-entity_recognition type Event100029378.
- Named-entity_recognition type PsychologicalFeature100023100.
- Named-entity_recognition type TasksOfNaturalLanguageProcessing.
- Named-entity_recognition type Undertaking100795720.
- Named-entity_recognition type Work100575741.
- Named-entity_recognition type YagoPermanentlyLocatedEntity.
- Named-entity_recognition comment "Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.Most research on NER systems has been structured as taking an unannotated block of text, such as this one:Jim bought 300 shares of Acme Corp.".
- Named-entity_recognition label "Named-entity recognition".
- Named-entity_recognition label "Reconhecimento de entidade mencionada".
- Named-entity_recognition label "Reconnaissance d'entités nommées".
- Named-entity_recognition label "Reconocimiento de nombres de entidades".
- Named-entity_recognition label "固有表現抽出".
- Named-entity_recognition sameAs Reconocimiento_de_nombres_de_entidades.
- Named-entity_recognition sameAs Entitateen_izenen_ezagutzea.
- Named-entity_recognition sameAs Reconnaissance_d'entités_nommées.
- Named-entity_recognition sameAs 固有表現抽出.
- Named-entity_recognition sameAs Reconhecimento_de_entidade_mencionada.
- Named-entity_recognition sameAs m.0658pt.
- Named-entity_recognition sameAs Q403574.
- Named-entity_recognition sameAs Q403574.
- Named-entity_recognition sameAs Named-entity_recognition.
- Named-entity_recognition wasDerivedFrom Named-entity_recognition?oldid=602109606.
- Named-entity_recognition isPrimaryTopicOf Named-entity_recognition.