arXiv · 1511.06361
Order-Embeddings of Images and Language
Abstract
Hypernymy, textual entailment, and image captioning can be seen as special cases of a single visual-semantic hierarchy over words, sentences, and images. In this paper we advocate for explicitly modeling the partial order structure of this hierarchy. Towards this goal, we introduce a general method for learning ordered representations, and show how it can be applied to a variety of tasks involving images and language. We show that the resulting representations improve performance over current approaches for hypernym prediction and image-caption retrieval.
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Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun. 2016-03-01. Order-Embeddings of Images and Language. https://arxiv.org/abs/1511.06361
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