Papers with grounded representations of comparative

1 papers
‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions (P18-2)

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Challenge: Multimodal approaches to object recognition ground adjectives and nouns from text using comparative adjectives.
Approach: They propose a new paradigm of grounding comparative adjectives within the realm of color descriptions by using a vector model.
Outcome: The proposed model generates representations of comparative adjectives with an average accuracy of 0.65 cosine similarity to the desired direction of change.

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