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Named Entities in the QTLeap Corpus of Online Helpdesk Interactions

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dc.contributor.authorQuerido, Andreia
dc.contributor.authorCarvalho, Rita de
dc.contributor.authorRodrigues, João
dc.contributor.authorSilva, João
dc.contributor.authorNeale, Steven
dc.contributor.authorPereira, Rita
dc.contributor.authorGomes, Patrícia
dc.contributor.authorCorreia, Catarina
dc.contributor.authorAmaral, Diana
dc.contributor.authorBranco, António
dc.date.accessioned2018-05-04T10:19:41Z
dc.date.available2018-05-04T10:19:41Z
dc.date.issued2016
dc.description.abstractIn this paper we present the annotation of a corpus with named entities that are classified into semantic types and disambiguated by linking them to their corresponding entry in the Portuguese DBpedia. This corpus, QTLeap Corpus, is a multilingual collection of question and answer pairs from a chat-based helpdesk service for Information and Communication Technologies. The resulting annotated corpus is a gold-standard named entity annotated lexical resource that is useful in supporting the training and evaluation of named entity annotation and disambiguation tools for Portuguese.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQuerido, A., Rita de Carvalho, João Rodrigues, João Silva, Steven Neale, Rita Valadas Pereira, Patrícia Gomes, Catarina Correia, Diana Amaral & António Branco. "Named entities in the QTLeap Corpus of online helpdesk interactions". In Revista da Associação Portuguesa da Linguística, 2, pp. 459-474.pt_PT
dc.identifier.doihttps://doi.org/10.21747/ 2183-9077/rapl2a20pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/33105
dc.language.isoengpt_PT
dc.publisherAssociação Portuguesa de Linguísticapt_PT
dc.relationQuality Translation by Deep Language Engineering Approaches
dc.subjectAnnotated corpuspt_PT
dc.subjectQTLeap Corpuspt_PT
dc.subjectNamed entitiespt_PT
dc.subjectAnnotation taskpt_PT
dc.subjectDisambiguation taskpt_PT
dc.titleNamed Entities in the QTLeap Corpus of Online Helpdesk Interactionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleQuality Translation by Deep Language Engineering Approaches
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-SII%2F1940%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/610516/EU
oaire.citation.conferencePlacePortopt_PT
oaire.citation.endPage474pt_PT
oaire.citation.startPage459pt_PT
oaire.citation.titleRevista da Associação Portuguesa de Linguísticapt_PT
oaire.citation.volumeNº 2 – 10pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication5a88944c-3a57-413b-8c9d-dbb9bdf1add6
relation.isProjectOfPublicationbb33e9a5-9e97-4cf4-a546-32d24ac6badb
relation.isProjectOfPublication.latestForDiscoverybb33e9a5-9e97-4cf4-a546-32d24ac6badb

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