Named Entity Recognition for Turkish

Named Entity Recognition for Turkish

In this study, we implemented a Named Entity Recognition tool for Turkish language. Named entity recognition is a NLP sub-task that is concerned with finding and classifiying named entities which are pre-defined types such as person, location, organization, date, time, money, percentage etc. For morphologically complex languages like Turkish, the task poses a more difficult problem. In our project, we decided to study the existing systems for Turkish and try to improve the results for named entity recognition in formal Turkish texts with a neural network based approach.

Project Members: 

Fatma Hilal Benzer
Büşra Hilal Cirit

Project Advisor: 

Arzucan Özgür

Project Status: 

Project Year: 

  • Fall

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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