Papers by Sebastian Bruch

1 papers
Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space (2025.acl-long)

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Challenge: Imageability and concreteness are psycholinguistic properties that link visual and semantic spaces.
Approach: They propose an unsupervised measure that quantifies sharpness of peaks in an image-caption dataset.
Outcome: The proposed method is more robust than existing methods and predicts these properties for classification.

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