Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103514
Type: Artigo de evento
Title: Sabio: An Automatic Portuguese Text Summarizer Through Artificial Neural Networks In A More Biologically Plausible Model
Author: Orru T.
Rosa J.L.G.
De Andrade Netto M.L.
Abstract: An 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.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33745826961&partnerID=40&md5=110b2b9374d3c44a319ec436062b2d74
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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