Learning-based pronoun resolution for Turkish with a comparative evaluation

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dc.authoridyildirim, savas/0000-0002-7764-2891|GUNER, EDIP SERDAR/0000-0002-7284-7513
dc.authorwosidyildirim, savas/AAG-4639-2019
dc.authorwosidGUNER, EDIP SERDAR/A-1759-2016
dc.contributor.authorKilicaslan, Yilmaz
dc.contributor.authorGuner, Edip Serdar
dc.contributor.authorYildirim, Savas
dc.date.accessioned2024-07-18T20:42:31Z
dc.date.available2024-07-18T20:42:31Z
dc.date.issued2009
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThe aim of this paper is twofold. On the one hand, it attempts to explore several machine learning models for pronoun resolution in Turkish, a language not sufficiently studied with respect to anaphora resolution and rarely being subjected to machine learning experiments. On the other hand, this paper offers an evaluation of the classification performances of the learning models in order to gain insight into the question of how to match a model to the task at hand. In addition to the expected observation that each model should be tuned to an optimum level of expressive power so as to avoid underfitting and overfitting, the results also suggest that non-linear models properly tuned to avoid overfitting outperform linear ones when applied to the data used in our experiments. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)en_US
dc.description.sponsorshipWe are grateful to the Scientific and Technological Research Council of Turkey (TUBITAK) for supporting one of the authors through scholarship in conducting his MSc research including this work.en_US
dc.identifier.doi10.1016/j.csl.2008.09.001
dc.identifier.endpage331en_US
dc.identifier.issn0885-2308
dc.identifier.issn1095-8363
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-62249205764en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage311en_US
dc.identifier.urihttps://doi.org/10.1016/j.csl.2008.09.001
dc.identifier.urihttps://hdl.handle.net/11411/7314
dc.identifier.volume23en_US
dc.identifier.wosWOS:000265320500003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAcademic Press Ltd- Elsevier Science Ltden_US
dc.relation.ispartofComputer Speech and Languageen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMachine Learningen_US
dc.subjectPronoun Resolutionen_US
dc.subjectLinear Versus Non-Linear Classifiersen_US
dc.subjectExpressive Poweren_US
dc.subjectUnderfittingen_US
dc.subjectOverfittingen_US
dc.titleLearning-based pronoun resolution for Turkish with a comparative evaluationen_US
dc.typeArticleen_US

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