Named Entity Recognition in Turkish: Approaches and Issues

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.