Second, while our experiments use attributes as a pivot between language and vision domains, the effects of this could be explored more in future work.
since our experiments show that unsupervised word embeddings significantly help performance, it might be desirable to learn data-driven attributes in an end-to-end fashion directly from a large corpus or from dictionary definitions.