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Creators/Authors contains: "Lins, Rafael Dueire"

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DocEng'19 Competition on Extractive Text Summarization

https://doi.org/10.1145/3342558.3351874

Lins, Rafael Dueire ; Mello, Rafael Ferreira ; Simske, Steve ( October 2019 , Proceedings of the ACM Symposium on Document Engineering)

The DocEng’19 Competition on Extractive Text Summarization assessed the performance of two new and fourteen previously published extractive text sumarization methods. The competitors were evaluated using the CNN-Corpus, the largest test set available today for single document extractive summarization.
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A network-based analytic approach to uncovering the relationship between social and cognitive presences in communities of inquiry

https://doi.org/10.1016/j.iheduc.2019.05.001

Rolim, Vitor ; Ferreira, Rafael ; Lins, Rafael Dueire ; Gǎsević, Dragan ( July 2019 , The Internet and Higher Education)

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The CNN-Corpus: A Large textual Corpus for Single-Document Extractive Summarization

https://doi.org/10.1145/3342558.3345388

Lins, Rafael Dueire ; Oliveira, Hilario ; Cabral, Luciano ; Batista, Jamilson ; Tenorio, Bruno ; Ferreira, Rafael ; Lima, Rinaldo ; de França Pereira e Silva, Gabriel ; Simske, Steven J ( October 2019 , Proceedings of the ACM Symposium on Document Engineering)

This paper details the features and the methodology adopted in the construction of the CNN-corpus, a test corpus for single document extractive text summarization of news articles. The current version of the CNN-corpus encompasses 3,000 texts in English, and each of them has an abstractive and an extractive summary. The corpus allows quantitative and qualitative assessments of extractive summarization strategies.
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The CNN-Corpus in Spanish: a Large Corpus for Extractive Text Summarization in the Spanish Language

https://doi.org/10.1145/3342558.3345423

Lins, Rafael Dueire ; Oliveira, Hilario ; Cabral, Luciano ; Batista, Jamilson ; Tenorio, Bruno ; Salcedo, Diego A ; Ferreira, Rafael ; Lima, Rinaldo ; de França Pereira e Silva, Gabriel ; Simske, Steven J ( January 2019 , Proceedings of the ACM Symposium on Document Engineering)

This paper details the development and features of the CNN-corpus in Spanish, possibly the largest test corpus for single document extractive text summarization in the Spanish language. Its current version encompasses 1,117 well-written texts in Spanish, each of them has an abstractive and an extractive summary. The development methodology adopted allows good-quality qualitative and quantitative assessments of summarization strategies for tools developed in the Spanish language.
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