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, morphologically-rich, 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.
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Küçük, D., Arıcı, N., Küçük, D. (2017). Named Entity Recognition in Turkish: Approaches and Issues. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_20
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DOI: https://doi.org/10.1007/978-3-319-59569-6_20
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