PS, it's interesting that CS224d : Deep Learning for NLP is trending at the same time as Myra. A lot of stuff is common to both - for instance, the topic on Recurrent neural nets for word embedding.
There are a bunch of very nice NL related experiments I've tried that are waiting in ipython notebooks, that we would love to experiment with here in production. If anyone here is interested in working on problems that relate to NLP/Deep Learning, and doing so with millisecond response times, at scale - you know what to do :)
Yes, definitely. I think they're doing a great job.
Myra is different from them in that it is first and foremost an intent understanding system, which has the ability to judge which service to use to satisfy it. The ability to help recommend/plan an evening out is the first amongst a broader set of things it can do.
There are a bunch of very nice NL related experiments I've tried that are waiting in ipython notebooks, that we would love to experiment with here in production. If anyone here is interested in working on problems that relate to NLP/Deep Learning, and doing so with millisecond response times, at scale - you know what to do :)