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.
@article{arxiv.1603.08079,
title = {Do You See What I Mean? Visual Resolution of Linguistic Ambiguities},
author = {Yevgeni Berzak and Andrei Barbu and Daniel Harari and Boris Katz and Shimon Ullman},
journal= {arXiv preprint arXiv:1603.08079},
year = {2016}
}