Skip to main content
SpringerLink
Log in

SuPor: An Environment for AS of Texts in Brazilian Portuguese

  • Conference paper
  • First Online:
Advances in Natural Language Processing (EsTAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3230))

Included in the following conference series:

Abstract

This paper presents SuPor, an environment for extractive Automatic Summarization of texts written in Brazilian Portuguese, which can be explored by a specialist on AS to select promising strategic features for extraction. By combining any number of features, SuPor actually entitles one to investigate the performance of distinct AS systems and identify which groups of features are more adequate for Brazilian Portuguese. One of its systems has outperformed six other extractive summarizers, signaling a significant grouping of features, as shown in this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aires, R.V.X., Aluísio, S.M., Kuhn, D.C.S., Andreeta, M.L.B., Oliveira Jr., O.N.: Combining Multiple Classifiers to Improve Part of Speech Tagging: A Case Study for Brazilian Portuguese. In: The Proc. of the Brazilian Symposium on Artificial Intelligence, Atibaia – SP, Brasil (2000)

    Google Scholar 

  2. Barzilay, R., Elhadad, M.: Using Lexical Chains for Text Summarization. In: The Proc. of the Intelligent Scalable Text Summarization Workshop, Madri, Spain (1997); Also In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization. MIT Press, New York, pp. 111–121 (1999)

    Google Scholar 

  3. Caldas Jr., J., Imamura, C.Y.M., Rezende, S.O.: Avaliação de um algoritmo de Stemming para a Língua Portuguesa. In: Proceedings of the 2nd Congress of Logic Applied to Technology – LABTEC 2001, Faculdade SENAC de Ciências Exatas e Tecnologia, São Paulo, Brasil, vol. II, pp. 267–274 (2001)

    Google Scholar 

  4. Dias-da-Silva, B.C., Oliveira, M.F., Moraes, H.R., Paschoalino, C., Hasegawa, R., Amorin, D., Nascimento, A.C.: Construção de um Thesaurus Eletrônico para o Português do Brasil. In: Proceedings of the V Encontro para o Processamento Computacional da Língua Portuguesa Escrita e Falada (PROPOR 2000), Atibaia – SP, pp. 1–11 (2000)

    Google Scholar 

  5. Edmundson, H.P.: New Methods in Automatic Extracting. Journal for Computing Machinery 16(2), 264–285 (1969)

    Article  Google Scholar 

  6. Greghi, J.G., Martins, R.T., Nunes, M.G.V.: Diadorim: a Lexical database for Brazilian Portuguese. In: Rodríguez, M.G., Araujo, C.P.S. (eds.) Proceedings of the Third International Conference on Language Resources and Evaluation LREC 2002, Las Palmas, vol. IV, pp. 1346–1350 (2002)

    Google Scholar 

  7. Halliday, M.A.K., Hasan, R.: Cohesion in English. Longman (1976)

    Google Scholar 

  8. Hearst, M.A.: TextTiling: A Quantitative Approach to Discourse Segmentation. Technical Report 93/24. University of California, Berkeley (1993)

    Google Scholar 

  9. Hoey, M.: Patterns of Lexis in Text. Oxford University Press, Oxford (1991)

    Google Scholar 

  10. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological Cybernetics 43, 59–69 (1982)

    Article  Google Scholar 

  11. Kupiec, J., Petersen, J., Chen, F.: A trainable document summarizer. In: Fox, E.A., Ingwersen, P., Fidel, R. (eds.) Proceedings of the 18th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, Seattle, WA. EUA, July 1995, pp. 68–73 (1995)

    Google Scholar 

  12. Larocca Neto, J., Santos, A.D., Kaestner, A.A., Freitas, A.A.: Document clustering and text summarization. In: The Proceedings of the 4th Int. Conf. on Practical Applications of Knowledge Discovery and Data Mining (PADD 2000), London, pp. 41–55 (2000)

    Google Scholar 

  13. Larocca Neto, J., Freitas, A.A., Kaestner, C.A.: Automatic Text Summarization using a ML Approach. In: Bittencourt, G., Ramalho, G.L. (eds.) SBIA 2002. LNCS (LNAI), vol. 2507, pp. 205–215. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  14. Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development 2(2), 159–165 (1958)

    Article  MathSciNet  Google Scholar 

  15. Mani, I.: Automatic Summarization. John Benjamin’s Publishing Company, USA (2001)

    Book  Google Scholar 

  16. Mani, I., Maybury, M.T. (eds.): Advances in automatic text summarization. MIT Press, Cambridge (1999)

    Google Scholar 

  17. Martins, R.T., Hasegawa, R., Nunes, M.G.V.: Curupira: um Parser Funcional para o Português. Relatório Técnico do NILC, NILC-TR-02-26. São Carlos, Dezembro, 43 p. (2002)

    Google Scholar 

  18. Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: Introduction to WordNet: An On-line Lexical Database (April 2003), ftp://www.cogsci.princeton.edu/pub/wordnet/5papers.ps

  19. Módolo, M.: SuPor: an Environment for Exploration of Extractive Methods for Automatic Text Summarization for Portuguese. MSc. Dissertation. Departamento de Computação, UFSCar (2003) (in Portuguese)

    Google Scholar 

  20. Nunes, M.G.V., Vieira, F.M.C., Zavaglia, C., Sossolote, C.R.C., Hernandez, J.: A Construção de um Léxico da Língua Portuguesa do Brasil para suporte à Correção Automática de Textos. Relatórios Técnicos do ICMC-USP, Nro. 42. Setembro, 36 p. (1996)

    Google Scholar 

  21. Orasan, C., Mitkov, R., Hasler, L.: CAST: a Computer-Aided Summarisation Tool. In: The Proceedings of the 10th Conference of The European Chapter of the Association for Computational Linguistics (EACL 2003), Budapest, Hungary (2003)

    Google Scholar 

  22. Pardo, T.A.S., Rino, L.H.M., Nunes, M.G.V.: GistSumm: A Summarization Tool Based on a New Extractive Method. In: Mamede, N.J., Baptista, J., Trancoso, I., Nunes, M.d.G.V. (eds.) PROPOR 2003. LNCS, vol. 2721, pp. 210–218. Springer, Heidelberg (2003a)

    Chapter  Google Scholar 

  23. Pardo, T.A.S., Rino, L.H.M., Nunes, M.G.V.: NeuralSumm: A Connexionist Approach to Automatic Text Summarization (in Portuguese). In: Anais do IV Encontro Nacional de Inteligência Artificial – ENIA 2003, XXII Cong. Nac.da SBC. Campinas – SP (2003b)

    Google Scholar 

  24. Pardo, T.A.S., e Rino, L.H.M.: TeMário: A Corpus for Automatic Text Summarization (in Portuguese). NILC Tech. Report. NILC-TR-03-09. São Carlos, Outubro, 12 p. (2003)

    Google Scholar 

  25. Porter, M.F.: An Algorithm for Suffix Stripping. Program 14(3), 130–137 (1980)

    Article  Google Scholar 

  26. Radev, D., Teufel, S., Saggion, H., Lam, W., Blitzer, J., Qi, H., Çelebi, A., Liu, D., Drabek, E.: Evaluation challenges in large-scale document summarization. In: The Proc. of the 41st Annual Meeting of the Association for Computational Linguistics, July 2003, pp. 375–382 (2003)

    Google Scholar 

  27. Ratnaparkhi, A.: A Maximum Entropy Part-Of-Speech Tagger. In: Proceedings of the Empirical Methods in Natural Language Processing Conference, University of Pennsylvania, USA, May 17-18 (1996)

    Google Scholar 

  28. Rino, L.H.M., Pardo, T.A.S., Silla Jr., C.N., Kaestner, C.A., Pombo, M.: A Comparison of Automatic Summarization Systems for Brazilian Portuguese Texts. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS, vol. 3171, pp. 235–244. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  29. Salton, G., Singhal, A., Mitra, M., Buckley, C.: Automatic Text Structuring and Summarization. Information Processing & Management 33(2), 193–207 (1997)

    Article  Google Scholar 

  30. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management 24, 513–523 (1988); Reprinted In: Sparck-Jones, K., Willet, P. (eds.) Readings in Information Retrieval, pp. 323–328. Morgan Kaufmann (1997)

    Article  Google Scholar 

  31. Teufel, S., Moens, M.: Argumentative Classification of Extracted Sentences as a First Step Towards Flexible Abstracting. In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization, pp. 155–175. MIT Press, Cambridge (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Computação, Universidade Federal de São Carlos (UFSCar), Brazil

    Lucia Helena Machado Rino

  2. Coordenação de Sistemas de Informação Faculdade Seama, Núcleo Interinstitucional de Lingüística Computacional (NILC/São Carlos), Brazil

    Marcelo Módolo

Authors
  1. Lucia Helena Machado Rino
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcelo Módolo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Spain

    José Luis Vicedo

  2. Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

    Patricio Martínez-Barco

  3. Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain

    Rafael Muńoz

  4. Departamento de Lenguajes y Sistemas Informáticos, Carretera de San Vicente del Raspeig, Universidad de Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

    Maximiliano Saiz Noeda

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rino, L.H.M., Módolo, M. (2004). SuPor: An Environment for AS of Texts in Brazilian Portuguese. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30228-5_37

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23498-2

  • Online ISBN: 978-3-540-30228-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation