SABIO: an automatic portuguese text summarizer through artificial neural networks in a more biologically plausible model

Authors:
Télvio Orrú;Joäo Luís Garcia Rosa;Márcio Luiz de Andrade Netto
Affiliations:
Computer Engineering and Industrial Automation Department, State University of Campinas, Unicamp, Campinas, Säo Paulo, Brazil;Computer Engineering Faculty – Ceatec, Pontifical Catholic University of Campinas, PUC-Campinas, Campinas, Säo Paulo, Brazil;Computer Engineering and Industrial Automation Department, State University of Campinas, Unicamp, Campinas, Säo Paulo, Brazil
Venue:
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Year:
2006

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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.