NAMED ENTITY RECOGNITION IN TURKISH VIA INDUCTIVE LOGIC PROGRAMMING
Özlem Aydin, Tuğba Çaliş
Pagini: 453-464
Publicat: 29 Jul 2017
Vizualizări: 2,796
Descărcări: 400
Rezumat: In this paper we concentrate on recognition of named entities in Turkish text using Inductive Logic Programming (ILP) algorithm. One of the main tasks of Information Extraction (IE) is the Named Entity Recognition (NER) which aims to locate and classify the named entities (i.e. person, location, organization names, date-time expressions) in text. ILP is a research area at the intersection of machine learning and logic programming. It uses techniques from both machine learning and logic programming. We have adopted a machine learning paradigm, namely ILP, to approach the task of NER in Turkish. This paper presents the performance results of ILP experiments we have conducted on Turkish data and a comparative evaluation of these results.
Cuvinte cheie: named entity recognition, inductive logic programming
Citează acest articol: Özlem Aydin, Tuğba Çaliş. NAMED ENTITY RECOGNITION IN TURKISH VIA INDUCTIVE LOGIC PROGRAMMING. Journal of International Scientific Publications: Materials, Methods & Technologies 11, 453-464 (2017). https://www.scientific-publications.net/en/article/1001490/
Înapoi la cuprinsul volumului
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
