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Title: Enriching Portuguese Word Embeddings with Visual Information
Authors: Consoli, Bernardo
Vieira, Renata
Keywords: multimodality
word embeddings
Issue Date: Oct-2021
Publisher: Springer
Citation: Consoli B.S., Vieira R. (2021) Enriching Portuguese Word Embeddings with Visual Information. In: Britto A., Valdivia Delgado K. (eds) Intelligent Systems. BRACIS 2021. Lecture Notes in Computer Science, vol 13074. Springer, Cham.
Abstract: This work focuses on the enrichment of existing Portuguese word embeddings with visual information in the form of visual embeddings. This information was extracted from images portraying given vocabulary terms and imagined visual embeddings learned for terms with no image data. These enriched embeddings were tested against their text-only counterparts in common NLP tasks. The results show an increase in performance for several tasks, which indicates that visual information fusion for word embeddings can be useful for word embedding based NLP tasks.
Type: article
Appears in Collections:CIDEHUS - Artigos em Livros de Actas/Proceedings

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