Order-Embeddings of Images and Language

Code

• github.com/iesl/geometric_graph_embedding
  pytorch★ 16
• github.com/ivendrov/order-embedding
  none★ 0

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.

Tasks

Benchmark Results

Reproductions