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Title: Enriching Portuguese Word Embeddings with Visual Information
Authors: Consoli, Bernardo
Vieira, Renata
Keywords: Word embeddings
Issue Date: 16-Mar-2022
Publisher: Springer
Citation: Consoli, B.S., Vieira, R. (2022). Enriching Portuguese Word Embeddings with Visual Information. In: , et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham.
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 perfor- mance for several tasks, which indicates that visual information fusion for word embeddings can be useful for certain tasks.
ISBN: 978-3-030-98305-5
Type: article
Appears in Collections:CIDEHUS - Artigos em Livros de Actas/Proceedings

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