mlsanityData to 7 Oct 2026

PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites

arXiv 2112.01591 ↗First posted 2 Dec 2021cs.CL cs.LGcited by 2

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Abstract (arXiv)

Wikipedia is an important free source of intelligible knowledge. Despite that, Brazilian Portuguese Wikipedia still lacks descriptions for many subjects. In an effort to expand the Brazilian Wikipedia, we contribute PLSum, a framework for generating wiki-like abstractive summaries from multiple descriptive websites. The framework has an extractive stage followed by an abstractive one. In particular, for the abstractive stage, we fine-tune and compare two recent variations of the Transformer neural network, PTT5, and Longformer. To fine-tune and evaluate the model, we created a dataset with thousands of examples, linking reference websites to Wikipedia. Our results show that it is possible to generate meaningful abstractive summaries from Brazilian Portuguese web content.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 20 references that are in the map. First posted on arXiv 2 Dec 2021.

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10 of 20 references.

References · 10

  1. 2017Attention Is All You Needcited by 59,932
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  8. 2018Generating Wikipedia by Summarizing Long Sequencescited by 333
  9. 2018Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarizationcited by 42
  10. 2020PTT5: Pretraining and validating the T5 model on Brazilian Portuguese datacited by 35

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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.

2 papers.