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Corpus-Driven Hyponym Acquisition for Turkish Language

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Computational Linguistics and Intelligent Text Processing (CICLing 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7181))

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Abstract

In this study, we propose a method for acquisition of hyponymy relations for the Turkish Language. This integrated method relies on both lexico-syntactic pattern and semantic similarity. Once the model has extracted the items using patterns it applies similarity based elimination of the incorrect ones in order to increase precision. We show that the algorithm based on a particular lexico-syntactic pattern for Turkish language can retrieve many hyponymy relations and also demonstrate that elimination based on semantic similarity gives promising results. We discuss how we measure the similarity between the concepts. The objective is to get better relevance and more precise results. The experiments show that this approach gives successful results with high precision.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Istanbul Bilgi University, Dolapdere, 34440, Istanbul, Turkey

    Savaş Yıldırım & Tuğba Yıldız

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  1. Savaş Yıldırım
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  2. Tuğba Yıldız
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Editors and Affiliations

  1. Center for Computing Research (CIC), National Polytechnic Institute (IPN), Mexico City, Mexico

    Alexander Gelbukh

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Yıldırım, S., Yıldız, T. (2012). Corpus-Driven Hyponym Acquisition for Turkish Language. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28604-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-28604-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28603-2

  • Online ISBN: 978-3-642-28604-9

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