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

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• 关键词：Meronym ; Lexico ; syntactic patterns ; Corpus ; based approaches
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9561
• 期：1
• 页码：386-394
• 全文大小：133 KB
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  6.Orhan, Z., Pehlivan, I., Uslan, V., Onder, P.: Automated extraction of semantic word relations in Turkish lexicon. J. Math. Comput. Appl. 16(1), 13–22 (2011)
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  11.Girju, R., Badulescu, A., Moldovan, D.: Automatic discovery of part-whole relations. J. Comput. Linguist. 32(1), 83–135 (2006)
  12.Sak, H., Güngör, T., Saraçlar, M.: Turkish language resources: morphological parser, morphological disambiguator and web corpus. In: Nordström, B., Ranta, A. (eds.) GoTAL 2008. LNCS (LNAI), vol. 5221, pp. 417–427. Springer, Heidelberg (2008)CrossRef
  
• 作者单位：Tuğba Yıldız (16) (17)
  Savaş Yıldırım (16) (17)
  Banu Diri (16) (17)
  
  16. Department of Computer Engineering, Istanbul Bilgi University, Dolapdere, 34440, Istanbul, Turkey
  17. Department of Computer Engineering, Yildiz Technical University, Davutpasa, 34349, Istanbul, Turkey
  
• 丛书名：Human Language Technology. Challenges for Computer Science and Linguistics
• ISBN：978-3-319-43808-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9561

文摘

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.