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Semeval-2010 task 12: parser evaluation using textual entailments

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dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorYüret, Deniz
dc.contributor.kuauthorTurgut, Zehra
dc.contributor.kuauthorHan, Aydın
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileMaster Student
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.yokid179996
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T22:53:37Z
dc.date.issued2010
dc.description.abstractParser Evaluation using Textual Entailments (PETE) is a shared task in the SemEval-2010 Evaluation Exercises on Semantic Evaluation. The task involves recognizing textual entailments based on syntactic information alone. PETE introduces a new parser evaluation scheme that is formalism independent, less prone to annotation error, and focused on semantically relevant distinctions.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doiN/A
dc.identifier.isbn1932-4327-01
dc.identifier.isbn9781-9324-3270-1
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880242334andpartnerID=40andmd5=d81ebb3849affa7d0d4f6bd473515729
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84880242334
dc.identifier.uriN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7229
dc.keywordsSemantics
dc.keywordsAnnotation errors
dc.keywordsEvaluation scheme
dc.keywordsRecognizing textual entailments
dc.keywordsSemantic evaluations
dc.keywordsSyntactic information
dc.keywordsTextual entailment
dc.keywordsSyntactics
dc.languageEnglish
dc.publisherAssociation for Computational Linguistics (ACL)
dc.sourceACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings
dc.subjectComputer engineering
dc.titleSemeval-2010 task 12: parser evaluation using textual entailments
dc.typeConference proceeding
dspace.entity.typePublication
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local.contributor.kuauthorYüret, Deniz
local.contributor.kuauthorTurgut, Zehra
local.contributor.kuauthorHan, Aydın
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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