Automatic Summarization System coupled with a Question-Answering System (QAAS)

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dc.creatorTorres-Moreno, Juan-Manuel
dc.creatorSt-Onge, Pier-Luc
dc.creatorGagnon, Michel
dc.creatorEl-Bèze, Marc
dc.creatorBellot, Patrice
dc.date2009-05-18
dc.date.accessioned2026-07-07T13:16:24Z
dc.date.available2026-07-07T13:16:24Z
dc.descriptionTo select the most relevant sentences of a document, it uses an optimal decision algorithm that combines several metrics. The metrics processes, weighting and extract pertinence sentences by statistical and informational algorithms. This technique might improve a Question-Answering system, whose function is to provide an exact answer to a question in natural language. In this paper, we present the results obtained by coupling the Cortex summarizer with a Question-Answering system (QAAS). Two configurations have been evaluated. In the first one, a low compression level is selected and the summarization system is only used as a noise filter. In the second configuration, the system actually functions as a summarizer, with a very high level of compression. Our results on French corpus demonstrate that the coupling of Automatic Summarization system with a Question-Answering system is promising. Then the system has been adapted to generate a customized summary depending on the specific question. Tests on a french multi-document corpus have been realized, and the personalized QAAS system obtains the best performances.
dc.description28 pages, 11 figures
dc.identifierhttps://arxiv.org/abs/0905.2990
dc.identifierhttp://arxiv.org/abs/0905.2990
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/230780
dc.subjectInformation Retrieval
dc.subjectComputation and Language
dc.titleAutomatic Summarization System coupled with a Question-Answering System (QAAS)
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