wagyubeef

I can speak for the linguistic side, but JHU and UMass have very strong NLP advisors, of course nowadays NLP/computational linguistic focus on statistical method. Keep in mind that programs don't matter as much as your advisor. So you probably want to look through recent years' ACL/EMNLP/COLING etc and find professors that you want to work with.

Anyone?

As the title says, I have heard several people saying this. Is this true? Thanks.

Hi guys. I'm currently getting a research mscs in a top10 university in US (top10 cs undergrad in the states as well, both rankings are major rankings), and about to apply for CS PhD this fall. Here's some info:- GRE: 161 verbal, 170 quant, 4.0 writing- intern: 3 summer interns in the bay area- research & publication: 1 first author at ISIT, 1 second author at ACL, 1 second author at EMNLP, 1 third author at EMNLP.- GPA: undergrad 3.84, grad~3.9- recommendation letters: my advisors are pretty good, although they may not write super strong recommendationsI would like to do research in learning theory, also tcs or mixed integer programming. Here's my list:- reach: UCB, Stanford, MIT, CMU, Princeton, TTIC- match: UT-Austin, UWashington, UPenn, GeorgiaTech (ACO program), UWaterloo (ACO), UCSD? Cornell?My concern is that, although I have 4 papers, only 1 is about learning theory, the other 3 are about NLP, which I'm not sure whether would help with applications for learning theory direction. ML is getting very very popular nowadays and I know ML applicants who have a lot of papers get rejected by all the universities they apply... On the other hand, is learning theory a little easier to get in compared to ML? Since the former is theoretical. Also does anyone know how hard it gets to change research topics? I have no research experiences except for some courses (and reading on my own) in TCS or MIP, but they really appeal to me.So am I being too optimistic about these choices? Thanks a lot for any suggestions!