A cascaded framework for identification and extraction of antonym for Turkish language

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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.contributor.authorYildiz, Tugba
dc.contributor.authorYildirim, Savas
dc.date.accessioned2024-07-18T20:40:37Z
dc.date.available2024-07-18T20:40:37Z
dc.date.issued2019
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractIdentification and extraction of semantic relations are challenging tasks in Natural Language Processing. In this paper, we design and propose three different models for the two separate tasks of identifying and extracting antonyms. In the first model, we develop two methods to identify antonyms: the first method consists of a probabilistic approach to calculate the probability of a given target/candidate pair being an antonym, whereby two distinct scoring functions are proposed to decide about the correct candidate for each target word; the second method consists of learning word embeddings and measuring embedding similarity to identify antonym pairs. In the second proposed model, we represent target/candidate pairs by a set of features that are compatible with those that are used by a supervised machine learning algorithm. The first and second models both especially well-suited for the identification of antonymy. In the last and third model, we adopt a minimally supervised bootstrapping approach, which operates by starting with a few antonym pairs and producing, thereafter, both seeds and patterns in an iterative fashion. Our study is deemed to be a significant contribution toward enriching the lexicon of the Turkish language.en_US
dc.identifier.doi10.1007/s00500-018-3417-1
dc.identifier.endpage7864en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue17en_US
dc.identifier.scopus2-s2.0-85051274847en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage7853en_US
dc.identifier.urihttps://doi.org/10.1007/s00500-018-3417-1
dc.identifier.urihttps://hdl.handle.net/11411/7137
dc.identifier.volume23en_US
dc.identifier.wosWOS:000486914400023en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofSoft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAntonymyen_US
dc.subjectLexico-Syntactic Patternsen_US
dc.subjectWord Embeddingen_US
dc.subjectMachine Learningen_US
dc.subjectBootstrapping Approachen_US
dc.subjectOppositesen_US
dc.titleA cascaded framework for identification and extraction of antonym for Turkish languageen_US
dc.typeArticleen_US

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