固有表現抽出
1. Named-entity recognitionNamed-entity recognition (NER) (also known as entity identification 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. 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.
Read “Named-entity recognition” on English Wikipedia
Read “固有表現抽出” on Japanese Wikipedia
Read “Named-entity recognition” on DBpedia
Read “Named-entity recognition” on English Wikipedia
Read “固有表現抽出” on Japanese Wikipedia
Read “Named-entity recognition” on DBpedia
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