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dc.contributor.authorFuentes Fort, Maria
dc.contributor.authorRodríguez Hontoria, Horacio
dc.contributor.authorTurmo Borras, Jorge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2016-05-27T08:58:44Z
dc.date.available2016-05-27T08:58:44Z
dc.date.issued2007-01
dc.identifier.citationFuentes, M., Rodríguez, H., Turmo, J. "FEMsum: A flexible eclectic multitask summarizer architecture evaluated in multidocument tasks". 2007.
dc.identifier.urihttp://hdl.handle.net/2117/87422
dc.description.abstractThis article describes two types of summarization approaches integrated in a flexible architecture for multitask summarization. The first type is based on the use of lexical features, while the second one is grounded on syntactic and semantic information. All the approaches have been evaluated in experiments where, given a set of documents, they are expected to produce summaries answering a user need (expressed by a query) in a reduced set of relevant textual fragments. Their performance is analyzed in two different tasks: written news and scientific oral presentations.
dc.format.extent20 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-06-41-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.otherText Summarization
dc.subject.otherSpontaneous Speech Summarization
dc.titleFEMsum: A flexible eclectic multitask summarizer architecture evaluated in multidocument tasks
dc.typeExternal research report
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.rights.accessOpen Access
local.identifier.drac18538630
dc.description.versionPostprint (published version)
local.citation.authorFuentes, M.; Rodríguez, H.; Turmo, J.


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