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

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dc.authoridYildiz, Tugba/0000-0002-8552-2806|yildirim, savas/0000-0002-7764-2891;
dc.authorwosidYildiz, Tugba/ABC-5958-2020
dc.authorwosidyildirim, savas/AAG-4639-2019
dc.authorwosidDiri, Banu/AAA-1020-2021
dc.contributor.authorYildiz, Tugba
dc.contributor.authorYildirim, Savas
dc.contributor.authorDiri, Banu
dc.date.accessioned2024-07-18T20:40:07Z
dc.date.available2024-07-18T20:40:07Z
dc.date.issued2016
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description6th Language and Technology Conference (LTC) -- DEC 07-09, 2013 -- Poznan, POLANDen_US
dc.description.abstractIn 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.en_US
dc.identifier.doi10.1007/978-3-319-43808-5_29
dc.identifier.endpage394en_US
dc.identifier.isbn978-3-319-43808-5
dc.identifier.isbn978-3-319-43807-8
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopus2-s2.0-84981229151en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage386en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-319-43808-5_29
dc.identifier.urihttps://hdl.handle.net/11411/6991
dc.identifier.volume9561en_US
dc.identifier.wosWOS:000389512300029en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofHuman Language Technology: Challenges for Computer Science and Linguisticsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMeronymen_US
dc.subjectLexico-Syntactic Patternsen_US
dc.subjectCorpus-Based Approachesen_US
dc.titleA Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patternsen_US
dc.typeConference Objecten_US

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