Sabio: An Automatic Portuguese Text Summarizer Through Artificial Neural Networks In A More Biologically Plausible Model

dc.creatorOrru T.
dc.creatorRosa J.L.G.
dc.creatorDe Andrade Netto M.L.
dc.date2006
dc.date2015-06-30T18:12:42Z
dc.date2015-11-26T14:27:29Z
dc.date2015-06-30T18:12:42Z
dc.date2015-11-26T14:27:29Z
dc.date.accessioned2018-03-28T21:30:37Z
dc.date.available2018-03-28T21:30:37Z
dc.identifier3540340459; 9783540340454
dc.identifierLecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 3960 LNAI, n. , p. 11 - 20, 2006.
dc.identifier3029743
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33745826961&partnerID=40&md5=110b2b9374d3c44a319ec436062b2d74
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/103514
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/103514
dc.identifier2-s2.0-33745826961
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246353
dc.descriptionAn implementation of a computational tool to generate new summaries from new source texts in Portuguese language, by means of connectionist approach (artificial neural networks) is presented. Among other contributions that this work intends to bring to natural language processing research, the employment of more biologically plausible connectionist architecture and training for automatic summarization is emphasized. The choice relies on the expectation that it may lead to an increase in computational efficiency when compared to the so-called biologically implausible algorithms. © Springer-Verlag Berlin Heidelberg 2006.
dc.description3960 LNAI
dc.description
dc.description11
dc.description20
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dc.languageen
dc.publisher
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsfechado
dc.sourceScopus
dc.titleSabio: An Automatic Portuguese Text Summarizer Through Artificial Neural Networks In A More Biologically Plausible Model
dc.typeActas de congresos


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