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arxiv: 1511.06361 · v6 · pith:X2HS26AZnew · submitted 2015-11-19 · 💻 cs.LG · cs.CL· cs.CV

Order-Embeddings of Images and Language

classification 💻 cs.LG cs.CLcs.CV
keywords imageshierarchylanguagerepresentationsadvocateappliedapproachescaptioning
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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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