AN NLP-BASED APPROACH FOR IMPROVING HUMAN-ROBOT INTERACTION

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dc.authoridTuna, Gurkan/0000-0002-6466-4696
dc.authorwosidTuna, Gurkan/AAG-4412-2019
dc.contributor.authorKilicaslan, Yilmaz
dc.contributor.authorTuna, Gurkan
dc.date.accessioned2024-06-12T11:18:58Z
dc.date.available2024-06-12T11:18:58Z
dc.date.issued2013
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThis study aims to explore the possibility of improving human- robot interaction (HRI) by exploiting natural language resources and using natural language processing (NLP) methods. The theoretical basis of the study rests on the claim that effective and efficient human robot interaction requires linguistic and ontological agreement. A further claim is that the required ontology is implicitly present in the lexical and grammatical structure of natural language. The paper offers some NLP techniques to uncover (fragments of) the ontology hidden in natural language and to generate semantic representations of natural language sentences using that ontology. The paper also presents the implementation details of an NLP module capable of parsing English and Turkish along with an overview of the architecture of a robotic interface that makes use of this module for expressing the spatial motions of objects observed by a robot.en_US
dc.description.sponsorshipR&D, Innovation and Industrial Application Support Programme of Small and Medium Enterprises Development Organization in Turkeyen_US
dc.description.sponsorshipThis study was partly funded by the R&D, Innovation and Industrial Application Support Programme of Small and Medium Enterprises Development Organization in Turkey with the research project entitled Otistik ve Zihinsel Engelli Bireyler Icin Dogal Dil Ifadelerinin Bilgisayar Ortaminda Gorsellestirilmesi (Computer- based Visualization of Natural Language Expressions for Individuals with Autism and Mental Retardation).en_US
dc.identifier.doi10.2478/jaiscr-2014-0013
dc.identifier.endpage200en_US
dc.identifier.issn2083-2567
dc.identifier.issn2449-6499
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84999349193en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage189en_US
dc.identifier.urihttps://doi.org/10.2478/jaiscr-2014-0013
dc.identifier.urihttps://hdl.handle.net/20.500.14551/25023
dc.identifier.volume3en_US
dc.identifier.wosWOS:000409638200003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSciendoen_US
dc.relation.ispartofJournal Of Artificial Intelligence And Soft Computing Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGesture Recognitionen_US
dc.subjectKnowledgeen_US
dc.subjectOntologyen_US
dc.titleAN NLP-BASED APPROACH FOR IMPROVING HUMAN-ROBOT INTERACTIONen_US
dc.typeArticleen_US

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