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English Information

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Authors
# Name
1 Thierry Barros(thierry@copin.ufcg.edu.br)
2 Carlos Eduardo Pires(cesp@dsc.ufcg.edu.br)
3 Dimas Filho(dimas.cassimiro@ufape.edu.br)

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Reference
# Reference
1 de Brito Gomes, L. B. and Oliveira, H. (2019). A multi-document summarization system for news articles in portuguese using integer linear programming.
2 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). Bert: Pre-training of deep bidirectional transformers for language understanding
3 Galassi, A., Lippi, M., and Torroni, P. (2019). Attention in natural language processing.
4 Jadhav, A., Jain, R., Fernandes, S., and Shaikh, S. (2019). Text summarization using neural networks. In 2019 International Conference on Advances in Computing, Communication and Control (ICAC3), pages 1–6.
5 Kiani, F. and Tas, O. (2017). A survey automatic text summarization. volume 5, pages 205–213.
6 Kieuvongngam, V., Tan, B., and Niu, Y. (2020). Automatic text summarization of covid19 medical research articles using bert and gpt-2.
7 Lin, C.-Y. (2004). Rouge: A package for automatic evaluation of summaries. page 10.
8 Liu, Y. (2019). Fine-tune bert for extractive summarization.
9 Moratanch, N. and Gopalan, C. (2017). A survey on extractive text summarization. pages 1–6.
10 Oliveira, M. A. d. and Mosca, L. d. L. S. (2014). As notícias de crime: uma análise retorico-argumentativa do discurso jornalístico online por antecipação ao discurso jurídico. Master’s thesis, Universidade de São Paulo.
11 Otter, D. W., Medina, J. R., and Kalita, J. K. (2019). A survey of the usages of deep learning in natural language processing.
12 Rino, L., Pardo, T., Silla, C., Kaestner, C., and Pombo, M. (2004). A comparison of automatic summarizers of texts in brazilian portuguese. volume 3171, pages 235–244.
13 Widyassari, A. P., Rustad, S., Shidik, G. F., Noersasongko, E., Syukur, A., Affandy, A., and Setiadi, D. R. I. M. (2020). Review of automatic text summarization techniques methods. Journal of King Saud University - Computer and Information Sciences