An Integrated Approach to Automatic Synonym Detection in Turkish Corpus

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dc.authoridYildiz, Tugba/0000-0002-8552-2806|yildirim, savas/0000-0002-7764-2891
dc.authorwosidYildiz, Tugba/ABC-5958-2020
dc.authorwosidDiri, Banu/AAA-1020-2021
dc.contributor.authorYildiz, Tugba
dc.contributor.authorYildirum, Savas
dc.contributor.authorDiri, Banu
dc.date.accessioned2024-07-18T20:52:11Z
dc.date.available2024-07-18T20:52:11Z
dc.date.issued2014
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description9th International Conference on Natural Language Processing (NLP) -- SEP 17-19, 2014 -- Warsaw, POLANDen_US
dc.description.abstractIn this study, we designed a model to determine synonymy. Our main assumption is that synonym pairs show similar semantic and dependency relation by the definition. They share same meronym/holonym and hypernym/hyponym relations. Contrary to synonymy, hypernymy and meronymy relations can probably be acquired by applying lexico-syntactic patterns to a big corpus. Such acquisition might be utilized and ease detection of synonymy. Likewise, we utilized some particular dependency relations such as object/subject of a verb, etc. Machine learning algorithms were applied on all these acquired features. The first aim is to find out which dependency and semantic features are the most informative and contribute most to the model. Performance of each feature is individually evaluated with cross validation. The model that combines all features shows promising results and successfully detects synonymy relation. The main contribution of the study is to integrate both semantic and dependency relation within distributional aspect. Second contribution is considered as being first major attempt for Turkish synonym identification based on corpus-driven approach.en_US
dc.description.sponsorshipPolish Acad Sci, Inst Comp Scien_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-319-10888-9
dc.identifier.isbn978-3-319-10887-2
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.startpage116en_US
dc.identifier.urihttps://hdl.handle.net/11411/8551
dc.identifier.volume8686en_US
dc.identifier.wosWOS:000348926100012en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofAdvances in Natural Language Processingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSynonymen_US
dc.subjectNear-Synonymen_US
dc.subjectPattern-Baseden_US
dc.subjectDependency Relationsen_US
dc.titleAn Integrated Approach to Automatic Synonym Detection in Turkish Corpusen_US
dc.typeConference Objecten_US

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