Named entity recognition (NER) (also known as entity identification (EI) and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

PropertyValue
p:abstract
  • El reconocimiento de nombres de entidades, Named entity recognition (NER), es una subtarea de la recuperación de información que busca localizar y clasificar elementos atómicos en texto sobre categorías predefinidas como nombres de personas, organizaciones, localizaciones, expresiones de horas, cantidades, valores monetarios, porcentajes, etc. Desde 1998 existe un gran interés en el reconocimiento de entidades en las áreas de la biología molecular, bioinformática y procesamiento del lenguaje natural." (es)
  • Named entity recognition (NER) (also known as entity identification (EI) and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. For example, a NER system producing MUC-style output might tag the sentence, :Jim bought 300 shares of Acme Corp. in 2006. :Jim bought 300 shares of Acme Corp. in 2006. NER systems have been created that use linguistic grammar-based techniques as well as statistical models. Hand-crafted grammar-based systems typically obtain better results, but at the cost of months of work by experienced linguists. Statistical NER systems typically require a large amount manually annotated training data. Since about 1998, there has been a great deal of interest in entity identification in the molecular biology, bioinformatics, and medical natural language processing communities. The most common entity of interest in that domain has been names of genes and gene products." (en)
  • 固有表現抽出 (こゆうひょうげんちゅうしゅつ, named entity extraction, named entity recognition)とは計算機を用いた自然言語処理技術の一つであり、固有名詞(人名、地名など)や日付、時間表現などを抽出する技術である。情報抽出の一分野であるとされる。" (ja)
rdfs:comment
  • El reconocimiento de nombres de entidades, Named entity recognition (NER), es una subtarea de la recuperación de información que busca localizar y clasificar elementos atómicos en texto sobre categorías predefinidas como nombres de personas, organizaciones, localizaciones, expresiones de horas, cantidades, valores monetarios, porcentajes, etc." (es)
  • Named entity recognition (NER) (also known as entity identification (EI) and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. (en)
  • 固有表現抽出 (こゆうひょうげんちゅうしゅつ, named entity extraction, named entity recognition)とは計算機を用いた自然言語処理技術の一つであり、固有名詞(人名、地名など)や日付、時間表現などを抽出する技術である。情報抽出の一分野であるとされる。" (ja)
p:hasPhotoCollection
rdfs:label
  • Named entity recognition (en)
  • Reconocimiento de nombres de entidades (es)
  • 固有表現抽出" (ja)
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