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dc.contributor.authorEspaña Bonet, Cristina
dc.contributor.authorComas Umbert, Pere Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2012-06-09T16:45:46Z
dc.date.available2012-06-09T16:45:46Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationEspaña-Bonet, C.; Comas, P.R. Full machine translation for factoid question answering. A: Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra). "Joint workshop on Exploiting synergies between information retrieval and machine translation (ESIRMT) and Hybrid approaches to machine translation (HyTra) at EACL-2012: proceedings of the workshop". Avignon: Association for Computational Linguistics, 2012, p. 20-29.
dc.identifier.isbn978-1-937284-19-0
dc.identifier.urihttp://hdl.handle.net/2117/15999
dc.description.abstractIn this paper we present an SMT-based approach to Question Answering (QA). QA is the task of extracting exact answers in response to natural language questions. In our approach, the answer is a translation of the question obtained with an SMT system. We use the n-best translations of a given question to find similar sentences in the document collection that contain the real answer. Although it is not the first time that SMT inspires a QA system, it is the first approach that uses a full Machine Translation system for generating answers. Our approach is validated with the datasets of the TREC QA evaluation.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshInformation retrieval
dc.subject.lcshQuestion answering
dc.titleFull machine translation for factoid question answering
dc.typeConference lecture
dc.subject.lemacInformació -- Sistemes d'emmagatzematge i recuperació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www-lium.univ-lemans.fr/esirmt-hytra/esirmt-hytra-proceedings.pdf
dc.rights.accessOpen Access
drac.iddocument10177534
dc.description.versionPreprint
upcommons.citation.authorEspaña-Bonet, C.; Comas, P.R.
upcommons.citation.contributorWorkshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
upcommons.citation.pubplaceAvignon
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJoint workshop on Exploiting synergies between information retrieval and machine translation (ESIRMT) and Hybrid approaches to machine translation (HyTra) at EACL-2012: proceedings of the workshop
upcommons.citation.startingPage20
upcommons.citation.endingPage29


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