Turkish Named Entity Recognizer model is updated recently, now we support 7 types of entity (person, location, organization, date, time, money, percentage).
The details of this work are given in the following publications, please refer to them if you would use this tool in your research.
Gökhan Akın Şeker and Gülşen Eryiğit. 2017. Extending a CRF-based named entity recognition
model for Turkish well formed text and user generated content of Turkish. In Semantic Web Journal
doi:10.3233/SW-170253 (bibtex) (pdf)
Gökhan Akın Şeker, Gülşen Eryiğit. Initial explorations on using CRFs for Turkish Named
Entity Recognition. In Proceedings of the 24th International Conference on Computational
Linguistics, COLING 2012, Mumbai, India, 8-15 December 2012 (bibtex) (pdf)
Gülşen Eryiğit . ITU Turkish NLP Web Service
In Proceedings of the Demonstrations at the 14th Conference
of the European Chapter of the Association for Computational Linguistics
(EACL 2014). Gothenburg, Sweden, April 2014.
(bibtex) (pdf) (poster)