Abstract
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.
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References
Winston, M.E., Chaffin, R., Herrmann, D.: A taxonomy of part-whole relations. J. Cogn. Sci. 11(4), 417–444 (1987)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: The 14th International Conference on Computational Linguistics, COLING 1992, pp. 539–545 (1992)
Berland, M., Charniak, E.: Finding parts in very large corpora. In: The 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, pp. 57–64 (1999)
Girju, R., Badulescu, A., Moldovan, D.: Learning semantic constraints for the automatic discovery of part-whole relations. In: The Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, pp. 1–8 (2003)
Pantel, P., Pennacchiotti, M.: Espresso: leveraging generic patterns for automatically harvesting semantic relations. In: The 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp. 113–120 (2006)
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)
Serbetşi, A., Orhan, Z., Pehlivan, I.: Extraction of semantic word relations in Turkish from dictionary definitions. In: The ACL 2011 Workshop on Relational Models of Semantics, RELMS 2011, pp. 11–18 (2011)
Yazıcı, E., Amasyalı, M.F.: Automatic extraction of semantic relationships using Turkish dictionary definitions. EMO Bilimsel Dergi 1, 1–13 (2011)
Yıldız, T., Yıldırım, S., Diri, B.: Extraction of part-whole relations from Turkish corpora. In: Gelbukh, A. (ed.) CICLing 2013, Part I. LNCS, vol. 7816, pp. 126–138. Springer, Heidelberg (2013)
Keet, C.M., Artale, A.: Representing and reasoning over a taxonomy of part-whole relations. J. Appl. Ontol. 3(1–2), 91–110 (2008)
Girju, R., Badulescu, A., Moldovan, D.: Automatic discovery of part-whole relations. J. Comput. Linguist. 32(1), 83–135 (2006)
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)
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Yıldız, T., Yıldırım, S., Diri, B. (2016). A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_29
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DOI: https://doi.org/10.1007/978-3-319-43808-5_29
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