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SmartEDU: Accelerating Slide Deck Production with Natural Language Processing

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Natural Language Processing and Information Systems (NLDB 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13913))

Abstract

Slide decks are a common medium for presenting a topic. To reduce the time required for their preparation, we present SmartEDU, a platform for drafting slides for a textual document, and the research that lead to its development. Drafts are Powerpoint files generated in three steps: pre-processing, for acquiring or discovering section titles; summarization, for compressing the contents of each section; slide composition, for organizing the summaries into slides. The resulting file may be further edited by the user. Several summarization methods were experimented in public datasets of presentations and in Wikipedia articles. Based on automatic evaluation measures and collected human opinions, we conclude that a Distillbart model is preferred to unsupervised summarization, especially when it comes to overall draft quality.

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Notes

  1. 1.

    https://www.microsoft.com/microsoft-365/powerpoint.

  2. 2.

    https://prezi.com.

  3. 3.

    https://mindflow.pt/.

  4. 4.

    https://github.com/kermitt2/grobid.

  5. 5.

    https://github.com/pymupdf/PyMuPDF.

  6. 6.

    https://python-pillow.org/.

  7. 7.

    https://spacy.io/.

  8. 8.

    https://github.com/kermitt2/grobid.

  9. 9.

    https://huggingface.co/sshleifer/distilbart-cnn-12-6.

  10. 10.

    https://huggingface.co/google/pegasus-cnn_dailymail.

  11. 11.

    https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum.

  12. 12.

    For English, roberta-large; for other languages, bert-base-multilingual-cased.

  13. 13.

    Carnation_Revolution, Cristiano_Ronaldo, Coimbra, Europe, Luís_de_Camões, Programming_language, Pythagorean_theorem, University_of_Coimbra, Queen_(band), Star_Wars.

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Acknowledgements

This work was funded by: project SmartEDU (CENTRO-01-0247-FEDER-072620), co-financed by FEDER, through PT2020, and by the Regional Operational Programme Centro 2020; and through the FCT – Foundation for Science and Technology, I.P., within the scope of the project CISUC – UID/CEC/00326/2020 and by the European Social Fund, through the Regional Operational Program Centro 2020.

Author information

Authors and Affiliations

  1. LIS, Instituto Pedro Nunes, Coimbra, Portugal

    Maria João Costa & Hugo Amaro

  2. CISUC, DEI, University of Coimbra, Coimbra, Portugal

    Hugo Gonçalo Oliveira

Authors
  1. Maria João Costa
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  2. Hugo Amaro
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  3. Hugo Gonçalo Oliveira
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Corresponding author

Correspondence to Maria João Costa .

Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

  2. University of Derby, Derby, UK

    Farid Meziane

  3. Oakland University, Rochester, NY, USA

    Vijayan Sugumaran

  4. University of Derby, Derby, UK

    Warren Manning

  5. University of Derby, Derby, UK

    Stephan Reiff-Marganiec

A Appendix: Example Drafts

A Appendix: Example Drafts

Fig. 3.
figure 3

Presentation draft generated with Distillbart for the Wikipedia article “SWOT analysis” (https://en.wikipedia.org/wiki/SWOT_analysis), as of June 2022, considering the section titles. Read from left to right.

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Fig. 4.
figure 4

Presentation draft generated with Distillbart for the Wikipedia article “SWOT analysis” (https://en.wikipedia.org/wiki/SWOT_analysis), as of June 2022, with sections discovered automatically and generated titles. Read from left to right.

Full size image
Fig. 5.
figure 5

Slides generated with TextRank for the article “Europe”, in the English Wikipedia, as of June, 19, 2022. Read from left to right. Article Link: https://en.wikipedia.org/wiki/Europe

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Costa, M.J., Amaro, H., Gonçalo Oliveira, H. (2023). SmartEDU: Accelerating Slide Deck Production with Natural Language Processing. In: Métais, E., Meziane, F., Sugumaran, V., Manning, W., Reiff-Marganiec, S. (eds) Natural Language Processing and Information Systems. NLDB 2023. Lecture Notes in Computer Science, vol 13913. Springer, Cham. https://doi.org/10.1007/978-3-031-35320-8_8

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  • DOI: https://doi.org/10.1007/978-3-031-35320-8_8

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