[nl]

Interesting.

As I said in my other comment, one of the strengths of Word2Vec is how robust it is against various metrics.

While it looks like GloVe's advantages over Word2Vec may be not as much as initially claimed, it is mostly as robust (which is good). However, the jump in Word+Context over just Word vectors when evaluated on semantic relations is interesting.

(To be clear: I'm very interested be being able to use the same system over diverse datasets, without having to tune it differently for each system - hence my interest in the robustness of the methodologies)

Edit: Were you and Smerity at Sydney Uni at the same time?