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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15890
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dc.contributor.authorEnrique López, Roque-
dc.contributor.authorBarreda, Dennis-
dc.contributor.authorTejada, Javier-
dc.contributor.authorCuadros Vargas, Ernesto-
dc.date.accessioned2019-01-29T22:19:55Z-
dc.date.available2019-01-29T22:19:55Z-
dc.date.issued2011-
dc.identifier.isbn9783642253232es_PE
dc.identifier.issn3029743es_PE
dc.identifier.urihttp://repositorio.ucsp.edu.pe/handle/UCSP/15890-
dc.description.abstractThis paper presents an unsupervised graph-based method to extract keyphrases using semantic information. The proposed method has two stages. In the first one, we have extracted MFS (Maximal Frequent Sequences) and built the nodes of a graph with them. The weight of the connection between two nodes has been established according to common statistical information and semantic relatedness. In the second stage, we have ranked MFS with traditionally PageRank algorithm; but we have included ConceptNet. This external resource adds an extra weight value between two MFS. The experimental results are competitive with traditional approaches developed in this area. MFSRank overcomes the baseline for top 5 keyphrases in precision, recall and F-score measures. © 2011 Springer-Verlag.es_PE
dc.description.uriTrabajo académicoes_PE
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-82555191211&doi=10.1007%2f978-3-642-25324-9_29&partnerID=40&md5=0cbe140efeaf7b137e027d81c8f015aces_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectExternal resourceses_PE
dc.subjectF-scorees_PE
dc.subjectGraph-based methodses_PE
dc.subjectKeyphrase extractiones_PE
dc.subjectMaximal frequent sequenceses_PE
dc.subjectPageRank algorithmes_PE
dc.subjectSemantic Graphses_PE
dc.subjectSemantic informationes_PE
dc.subjectSemantic relatednesses_PE
dc.subjectStatistical informationes_PE
dc.subjectTwo stagees_PE
dc.subjectUnsupervised methodes_PE
dc.subjectWeight valueses_PE
dc.subjectArtificial intelligencees_PE
dc.subjectInformation usees_PE
dc.subjectSemanticses_PE
dc.titleMFSRank: An unsupervised method to extract keyphrases using semantic informationes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doi10.1007/978-3-642-25324-9_29es_PE
Appears in Collections:Artículos de investigación

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