Todas as palavras da sentença como métrica para um sumarizador automático
Authors: 
Marcus V. C. Guelpeli, Flavia Cristina Bernardini, Ana Cristina Bicharra GarciaAuthors Info & Claims
Marcus V. C. Guelpeli, Flavia Cristina Bernardini, Ana Cristina Bicharra GarciaAuthors Info & ClaimsPages 287 - 291
Abstract
The purpose of this work is to present an automatic summarizer that uses as a metric the number of words into a sentence to define the text author's pragmatic profile. Using the number of words as a metric, the original text is classified according to its temporal measures and textual composition, which is based on its formality. Also, these features are parameters to the summary generation that indicate the compression level. This work uses traditional methodologies of automatic summarization and compares these results to results obtained with our proposal.
References
[1]
Brown, R. (1973). "A first language", UNIVERSITY Press, Cambridge. http://bowlandfiles.lancs.ac.uk/chimp/langac/LECTURE2/2brown.htm, acessado em março de 2008.
[2]
Guelpeli, M. V. C.; Ribeiro, C.; Omar, N. (2004). "Aprendizado por Reforço para um Sistema Tutor Inteligente sem Modelo Explícito do Aprendiz", Revista Brasileira de Informática na Educação- RBIE -- SBC Volume 12 -- Número 2 pág. 69--77 - ISSN 1414-5685- mês de Julho a Dezembro de 2004-Rio de Janeiro-Brasil.
[3]
Guelpeli, M. V. C.; Garcia A. C. B.(2007)."Automatic Summarizer Based on Pragmatic Profiles" International Conference WWW/Internet 2007- IADIS- Volume II pág. 149--153- ISBN: 978-972-8924-44-7 - mês de Outubro de 2007- Vila Real-Portugal.
[4]
Franco, M. G.; Reis, M. J; Gil, T. M. S.(2003). "Comunicação, Linguagem e Fala" Ministério da Educação de Portugal, Lisboa.
[5]
Hearst, M. A. (1993). "TextTiling: A quantitative approach to discourse segmentation." Technical Report Sequoia 93/24, Computer Science Division, University of California, Berkeley.
[6]
Hearst, M. A.(1997). "TextTiling: Segmenting text into multi--paragraph subtopic passages" Computational Linguistics, vol. 23, no. 1 pp. 33--64, 1997. Disponível em: http://ucrel.lancs.ac.uk/acl/J/J97/J97-1003.pdf, acessado em 06 de Maio de 2007.
[7]
Hutchins, J. (1987). "Summarization: Some problems and Methods." In: Jones. Meaning: The frontier of informatics. Cambridge. London, pp. 151--173.
[8]
Hovy, E. (1988). "Generating Natural Language under Pragmatic Constraints." Lawrence Erlbaum Associates Publishers, Hillsdale, New Jersey.
[9]
Hovy, E.; C. Y. Lin; L. Zhou. (2005). "A BE-based multi-document summarizer with sentence compression." To appear in Proceedings of Multilingual Summarization Evaluation (ACL 2005), Ann Arbor, MI.
[10]
Hovy, E.; Kim, S. M.(2005). "Automatic Detection of Opinion Bearing Words and Sentences." In Proc. of IJCNLP-05, 2005.
[11]
Larocca, J. N. 1, Santos, A. D. S, Kaestner, C. A. A. e Freitas A. A. (2000). "Generating Text Summaries through the Relative Importance of Topics. "Lecture Notes in Computer Science Springer Berlin / Heidelberg Volume 1952/2000, ISSN0302-9743 (Print) 1611--3349 (Online) pp 300, 2000, Brazil.
[12]
Luhn, H. P. (1958). "The automatic creation of literature abstracts.".IBM Journal of Research and Development, 2, pp. 159--165.
[13]
Magalhães, T. M. V. (2006). "O Sistema Pronominal Sujeito e Objeto na Aquisição do Português Europeu e do Português Brasileiro". Tese de Doutorado, UNICAMP.
[14]
Mittal, V. O., Kantrowitz, M., Goldstein, J., Carbonell, J. G.(1999) "Selecting Text Spans For Document Summaries: Heuristics And Metrics", In Aaai/Iaai (1999), Pp. 467--473.
[15]
Pardo, T. A. S.; Espina, A. P.; Rino, L. H. M.; Martins, C. B.;(2001). "Introdução à Sumarização Automática." Tech. Report RT-DC 002/2001, Departamento de Computação, Universidade Federal de São Carlos. Abril. 38p.
[16]
Pardo, T. A. S.; Rino, L. H. M.; Martins (2003). "TeMário: Um Corpus para Sumarização Automática de Textos." Série de Relatórios do Núcleo Interinstitucional de Lingüística Computacional, NILC - ICMC-USP, Outubro de 2003.
[17]
Pardo, T. A. S.; Rino, L. H. M.; Martins (2006) "A Coleção TeMário e a Avaliação de Sumarização Automática." Série de Relatórios do Núcleo Interinstitucional de Lingüística Computacional, NILC - ICMC-USP, Janeiro de 2006.
[18]
Rabiner, L. R.; Juang, B. H. (1986), "An introduction to hidden Markov models", IEEE ASSP Magazine, Vol. 3(1), pp. 4--16.
[19]
Riloff, E.; Wiebe, J.; Phillips, W. (2005). "Exploiting Subjectivity Classification to Improve Information Extraction", Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05).
[20]
Salton, G.; Buckley, C. (1988). "Term-weighting Approaches in Automatic Text Retrieval." Information Processing and Management 24, pp. 513--523.
Index Terms
- Todas as palavras da sentença como métrica para um sumarizador automático
Comments
Information & Contributors
Information
Published In
October 2008
420 pages
ISBN:9788576691990
DOI:10.1145/1809980
Copyright © 2008 2008 Brazilian Computer Society.
Sponsors
- SBC: Brazilian Computer Society
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 October 2008
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
WebMedia08
Sponsor:
- SBC
WebMedia08: 14th Brazilian Symposium on Multimedia and Web Systems
October 26 - 29, 2008
Espírito Santo, Vila Velha, Brazil
Acceptance Rates
Overall Acceptance Rate 270 of 873 submissions, 31%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 65Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in