Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts

Author:

Paiola Pedro H.ORCID,de Rosa Gustavo H.ORCID,Papa João P.ORCID

Publisher

Springer International Publishing

Reference46 articles.

1. Banarescu, L., et al.: Abstract meaning representation for sembanking. In: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, pp. 178–186 (2013)

2. Barzilay, R., Elhadad, M.: Using lexical chains for text summarization. In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization, pp. 111–121. The MIT Press, Cambridge (1999)

3. Black, W.J., Johnson, F.C.: A practical evaluation of two rule-based automatic abstraction techniques. Expert Syst. Inform. Manage. 1(3), 159–177 (1988)

4. Canete, J., Chaperon, G., Fuentes, R., Ho, J.H., Kang, H., Pérez, J.: Spanish pre-trained bert model and evaluation data. In: PML4DC at ICLR 2020 (2020)

5. Cardoso, P.C., et al.: CSTNews-a discourse-annotated corpus for single and multi-document summarization of news texts in Brazilian Portuguese. In: Proceedings of the 3rd RST Brazilian Meeting, pp. 88–105 (2011)

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