Acquisition of Turkish meronym based on classification of patterns

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dc.authoridyildirim, savas/0000-0002-7764-2891|Yildiz, Tugba/0000-0002-8552-2806|Diri, Banu/0000-0002-6652-4339
dc.authorwosidDiri, Banu/AAA-1020-2021
dc.authorwosidyildirim, savas/AAG-4639-2019
dc.authorwosidYildiz, Tugba/ABC-5958-2020
dc.authorwosidDiri, Banu/O-8533-2016
dc.contributor.authorYildiz, Tugba
dc.contributor.authorDiri, Banu
dc.contributor.authorYildirim, Savas
dc.date.accessioned2024-07-18T20:40:37Z
dc.date.available2024-07-18T20:40:37Z
dc.date.issued2016
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThe identification of semantic relations from a raw text is an important problem in Natural Language Processing. This paper provides semi-automatic pattern-based extraction of part-whole relations. We utilized and adopted some lexico-syntactic patterns to disclose meronymy relation from a Turkish corpus. We applied two different approaches to prepare patterns; one is based on pre-defined patterns that are taken from the literature, second automatically produces patterns by means of bootstrapping method. While pre-defined patterns are directly applied to corpus, other patterns need to be discovered first by taking manually prepared unambiguous seeds. Then, word pairs are extracted by their occurrence in those patterns. In addition, we used statistical selection on global data that is obtaining from all results of entire patterns. It is a whole-by-part matrix on which several association metrics such as information gain, T-score, etc., are applied. We examined how all these approaches improve the system accuracy especially within corpus-based approach and distributional feature of words. Finally, we conducted a variety of experiments with a comparison analysis and showed advantage and disadvantage of the approaches with promising results.en_US
dc.identifier.doi10.1007/s10044-015-0516-9
dc.identifier.endpage507en_US
dc.identifier.issn1433-7541
dc.identifier.issn1433-755X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84940519512en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage495en_US
dc.identifier.urihttps://doi.org/10.1007/s10044-015-0516-9
dc.identifier.urihttps://hdl.handle.net/11411/7144
dc.identifier.volume19en_US
dc.identifier.wosWOS:000374172600015en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofPattern Analysis and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCorpus-Based Methoden_US
dc.subjectLexico-Syntactic Patternen_US
dc.subjectMeronymen_US
dc.subjectPart-Wholeen_US
dc.titleAcquisition of Turkish meronym based on classification of patternsen_US
dc.typeArticleen_US

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