Published June 12, 2020
| Version v1
Journal article
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NAMED ENTITY RECOGNITION IN TURKISH USING ASSOCIATION MEASURES
Authors/Creators
- 1. Department of Software Engineering, Izmir University of Economics, Izmir, Turkey
- 2. Department of Computer Education and Instructional Technologies, Ege University, Izmir, Turkey
- 3. International Computer Institute, Ege University, Izmir, Turkey
Description
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.