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Enriching Portuguese Word Embeddings with Visual Information

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Computational Processing of the Portuguese Language (PROPOR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13208))

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Abstract

This work focuses on the enrichment of existing Portuguese word embeddings with visual information. The combined text-image embeddings were tested against their text-only counterparts in common NLP tasks. The new embeddings were tested in two different domains - general news and a geosciences. The results show an increase in performance for several tasks, which indicates that visual information fusion for word embeddings can be useful for certain tasks.

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Notes

  1. 1.

    See http://www.nilc.icmc.usp.br/embeddings, https://allennlp.org/elmo and https://huggingface.co/neuralmind/bert-base-portuguese-cased.

  2. 2.

    https://liir.cs.kuleuven.be/software_pages/imagined_representation_aaai.php.

  3. 3.

    http://wn.mybluemix.net/.

  4. 4.

    https://github.com/bsconsoli/Enriching-Portuguese-Word-Embeddings-with-Visual-Information.

  5. 5.

    https://github.com/Petroles/Petrovec.

References

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Acknowledgements

We would like to thank Petrobras and the Brazilian National Council for Scientific and Technological Development (CNPq) for their financial support.

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Authors and Affiliations

  1. School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil

    Bernardo Scapini Consoli

  2. CIDEHUS, University of Évora, Évora, Portugal

    Renata Vieira

Authors
  1. Bernardo Scapini Consoli
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  2. Renata Vieira
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Corresponding author

Correspondence to Bernardo Scapini Consoli .

Editor information

Editors and Affiliations

  1. Universidade de Fortaleza, Fortaleza, Brazil

    Vládia Pinheiro

  2. CiTIUS - Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Pablo Gamallo

  3. Universidade Nova de Lisboa, Lisbon, Portugal

    Raquel Amaro

  4. University of Sheffield, Sheffield, UK

    Carolina Scarton

  5. INESC-ID, Lisbon, Portugal

    Fernando Batista

  6. Federal University of São Carlos, São Carlos, Brazil

    Diego Silva

  7. University of Lisbon, Lisbon, Portugal

    Catarina Magro

  8. Sentimonitor, Porto Alegre, Brazil

    Hugo Pinto

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Consoli, B.S., Vieira, R. (2022). Enriching Portuguese Word Embeddings with Visual Information. In: Pinheiro, V., et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham. https://doi.org/10.1007/978-3-030-98305-5_42

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  • DOI: https://doi.org/10.1007/978-3-030-98305-5_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98304-8

  • Online ISBN: 978-3-030-98305-5

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