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Named Entity Recognition in Turkish Using Association Measures

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Author(s): Senem Kumova Metin | Tarik Kisla | Bahar Karaoglan

Journal: Advanced Computing : an International Journal
ISSN 2229-726X

Volume: 3;
Issue: 4;
Start page: 43;
Date: 2012;
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Keywords: Turkish | Point-wise Mutual Information | Mutual Dependency | First Kulczynski | Joint Probability

ABSTRACT
Named Entity Recognition which is an important subject of Natural Language Processing is a key technology of information extraction, information retrieval, question answering and other text processing applications. In this study, we evaluate previously well-established association measures as an initial attempt to extract two-worded named entities in a Turkish corpus. Furthermore we propose a new association measure, and compare it with the other methods. The evaluation of these methods is performed by precision and recall measures.
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