论文信息 - Named Entity Recognition from Turkish texts

Named Entity Recognition from Turkish texts

Named Entity Recognition is an important subject of Natural Language Processing and is used to classify proper nouns into different types such as person, location and organization names in addition to formula, date and money definitions. Rule Based Named Entity Recognition means defining rules to classify named entities in a text through using lexical resources and creating patterns. This study focuses on classification of proper nouns into three types including person, location and organization names regardless of the subject of text.

Banu Diri | Faik Erdem Dalkilic | Semih Gelisli

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