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An automatic approach to generate corpus in Spanish

dc.contributor.editorSerrano C. J.E.
dc.contributor.editorMartínez-Santos, Juan Carlos
dc.creatorPuertas E.
dc.creatorAlvarado‑Valencia, Jorge Andres
dc.creatorMoreno-Sandoval L.G.
dc.creatorPomares-Quimbaya A.
dc.date.accessioned2020-03-26T16:32:36Z
dc.date.available2020-03-26T16:32:36Z
dc.date.issued2018
dc.identifier.citationCommunications in Computer and Information Science; Vol. 885, pp. 150-161
dc.identifier.isbn9783319989976
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8916
dc.description.abstractA corpus is an indispensable linguistic resource for any application of natural language processing. Some corpora have been created manually or semi-automatically for a specific domain. In this paper, we present an automatic approach to generate corpus from digital information sources such as Wikipedia and web pages. The information extracted by Wikipedia is done by delimiting the domain, using a propagation algorithm to determine the categories associated with a domain region and a set of seeds to delimit the search. The information extracted from the web pages is carried out efficiently, determining the patterns associated with the structure of each page with the purpose of defining the quality of the extraction. © Springer Nature Switzerland AG 2018.eng
dc.description.sponsorshipPontificia Universidad Javeriana
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer Verlag
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054377708&doi=10.1007%2f978-3-319-98998-3_12&partnerID=40&md5=d8689ca7ab863965c5539711ded485c1
dc.titleAn automatic approach to generate corpus in Spanish
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event13th Colombian Conference on Computing, CCC 2018
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1007/978-3-319-98998-3_12
dc.subject.keywordsCorpus
dc.subject.keywordsKnowledge extraction
dc.subject.keywordsLinguistic computational
dc.subject.keywordsNatural language processing
dc.subject.keywordsText mining
dc.subject.keywordsData mining
dc.subject.keywordsExtraction
dc.subject.keywordsNatural language processing systems
dc.subject.keywordsTellurium compounds
dc.subject.keywordsWebsites
dc.subject.keywordsAutomatic approaches
dc.subject.keywordsCorpus
dc.subject.keywordsDigital information
dc.subject.keywordsKnowledge extraction
dc.subject.keywordsLinguistic resources
dc.subject.keywordsPropagation algorithm
dc.subject.keywordsText mining
dc.subject.keywordsWikipedia
dc.subject.keywordsLinguistics
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesAcknowledgements. The tool presented was carried out within the construction of research capabilities of the Center for Excellence and Appropriation in Big Data and Data Analytics (CAOBA), led by the Pontificia Universidad Javeriana, funded by the Ministry of Information Technologies and Telecommunications of the Republic of Colombia (MinTIC).
dc.relation.conferencedate26 September 2018 through 28 September 2018
dc.type.spaConferencia
dc.identifier.orcid57202285682
dc.identifier.orcid8738428200
dc.identifier.orcid57194828933
dc.identifier.orcid57203852380


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.