Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/378
Type: Artigo de periódico
Title: SAB(IO): A BIOLOGICALLY PLAUSIBLE CONNECTIONIST APPROACH TO AUTOMATIC TEXT SUMMARIZATION
Author: ORRU, T.
ROSA, J. L. G.
ANDRADE NETTO, M. L.
Abstract: An implementation of a computational tool to generate new summaries from new source texts is presented, by means of the connectionist approach (artificial neural networks). Among other contributions that this work intends to bring to natural language processing research, the use of a more biologically plausible connectionist architecture and training for automatic summarization is emphasized. The choice relies on the expectation that it may bring an increase in computational efficiency when compared to the sa-called biologically implausible algorithms.
Country: Estados Unidos
Editor: TAYLOR & FRANCIS INC
Rights: fechado
Identifier DOI: 10.1080/08839510802296044
Address: http://apps.isiknowledge.com/InboundService.do?Func=Frame&product=WOS&action=retrieve&SrcApp=EndNote&UT=000260173300003&Init=Yes&SrcAuth=ResearchSoft&mode=FullRecord
http://dx.doi.org/10.1080/08839510802296044
Date Issue: 2008
Appears in Collections:FEEC - Artigos e Outros Documentos

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