Papers with visual-linguistic model

2 papers
FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context (2023.tacl-1)

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Challenge: Experimental results shed light on the emotional connotation of color in context . color is a powerful tool for conveying emotion across cultures .
Approach: They propose a multimodal dataset for exploring the emotional connotation of color as mediated by line, stroke, texture, shape, and language.
Outcome: The proposed model sheds light on the emotional connotation of color in context and the potential for future studies.
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER (2020.coling-main)

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Challenge: Named entity recognition (MNER) for tweets is a key task of many applications.
Approach: They propose a pre-trained multimodal named entity recognition model based on Relationship Inference and Visual Attention (RIVA) for tweets.
Outcome: The proposed model improves on the multimodal named entity recognition (MNER) task on tweets with the aid of visual clues.

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