NAMED ENTITY RECOGNITION IN TURKISH USING ASSOCIATION MEASURES
Makaleler > Tam Makale · 2020
Yazarlar: Metin, Senem Kumova, Tarık Kışla, Karaoğlan, Bahar
Zenodo (CERN European Organization for Nuclear Research), Uluslararası, 2020
Özet
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.