A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns

  • Tuğba YıldızEmail author
  • Savaş Yıldırım
  • Banu Diri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9561)


In this paper, we applied lexico-syntactic patterns to disclose meronymy relation from a huge Turkish raw text. Once, the system takes a huge raw corpus and extract matched cases for a given pattern, it proposes a list of whole-part pairs depending on their co-occur frequencies. For the purpose, we exploited and compared a list of pattern clusters. The clusters to be examined could fall into three types; general patterns, dictionary-based pattern, and bootstrapped pattern. We evaluated how these patterns improve the system performance especially within corpus-based approach and distributional feature of words. Finally, we discuss all the experiments with a comparison analysis and we showed advantage and disadvantage of the approaches with promising results.


Meronym Lexico-syntactic patterns Corpus-based approaches 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Tuğba Yıldız
    • 1
    • 2
    Email author
  • Savaş Yıldırım
    • 1
    • 2
  • Banu Diri
    • 1
    • 2
  1. 1.Department of Computer EngineeringIstanbul Bilgi UniversityIstanbulTurkey
  2. 2.Department of Computer EngineeringYildiz Technical UniversityIstanbulTurkey

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