Yildiz, TugbaYildirim, SavasDiri, Banu2024-07-182024-07-182016978-3-319-43808-5978-3-319-43807-80302-97431611-3349https://doi.org/10.1007/978-3-319-43808-5_29https://hdl.handle.net/11411/69916th Language and Technology Conference (LTC) -- DEC 07-09, 2013 -- Poznan, POLANDIn 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 corpusbased 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.eninfo:eu-repo/semantics/closedAccessMeronymLexico-Syntactic PatternsCorpus-Based ApproachesConference Object2-s2.0-8498122915110.1007/978-3-319-43808-5_29394Q33869561N/AWOS:000389512300029