From Visual Attributes to Adjectives through Decompositional Distributional Semantics

TACL 2015 Angeliki LazaridouGeorgiana DinuAdam LiskaMarco Baroni

As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown...) attracting most attention. By building on the recent "zero-shot learning" approach, and paying attention to the linguistic nature of attributes as noun modifiers, and specifically adjectives, we show that it is possible to tag images with attribute-denoting adjectives even when no training data containing the relevant annotation are available... (read more)

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