Do You See What I Mean? Visual Resolution of Linguistic Ambiguities

Yevgeni Berzak,Andrei Barbu,Daniel Harari,Boris Katz,S. Ullman

Published 2015 in Conference on Empirical Methods in Natural Language Processing

ABSTRACT

Understanding language goes hand in hand with the ability to integrate complex contextual information obtained via perception. In this work, we present a novel task for grounded language understanding: disambiguating a sentence given a visual scene which depicts one of the possible interpretations of that sentence. To this end, we introduce a new multimodal corpus containing ambiguous sentences, representing a wide range of syntactic, semantic and discourse ambiguities, coupled with videos that visualize the different interpretations for each sentence. We address this task by extending a vision model which determines if a sentence is depicted by a video. We demonstrate how such a model can be adjusted to recognize different interpretations of the same underlying sentence, allowing to disambiguate sentences in a unified fashion across the different ambiguity types.

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