Named Entity Recognition in Turkish: Approaches and Issues

Kucuk D., Arıcı N., Kucuk D.

22nd International Conference on Applications of Natural Language to Information Systems (NLDB), Liege, Belgium, 21 - 23 June 2017, vol.10260, pp.176-181 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 10260
  • Doi Number: 10.1007/978-3-319-59569-6_20
  • City: Liege
  • Country: Belgium
  • Page Numbers: pp.176-181
  • Keywords: Named entity recognition, Information extraction, Turkish, Survey, Literature review
  • Gazi University Affiliated: Yes

Abstract

In this paper, we provide a review of the literature on named entity recognition in Turkish together with pointers to related open research problems. Unlike well-studied languages such as English and Spanish; Turkish is an agglutinative, morphologicallyrich, and non-configurational language with limited language processing resources, tools, data sets, and guidelines. Hence, we believe that this paper will serve as a significant reference for computational linguists working on Turkish, those working on languages with similar structural characteristics to Turkish, and also for those working on resource-scarce languages.