3 ms·

Can you point at a good survey article, blog post, course or book that goes into the NLU aspect? I've watched a bunch of courses on DNN but feel that stuff does

• hiddencost 10y ago
  (also, sorry, the speech stuff was using HMM+GMM models, and now mostly use HMM+DNN models [so, we replaced the gaussian mixture model with a DNN, but kept the HMM], although some people are moving over to RNN models which doesn't use HMMs (connectionist temporal classification)) This is a great course, about NLP generally: http://cs224d.stanford.edu/syllabus.html http://cs224d.stanford.edu/syllabus.html A typical NLU system might be: an intent classifier to predict intent (e.g., "play music"). This can be pretty much anything (SVM, logistic regression, RNN, I don't care, try stuff and see what works for you) a segmentation model or slot-filling model (so label every word as either junk or "album name" or "song name" or whatever). This requires a sequence model, e.g., HMMs, CRFs, LSTM-RNNs. Here's a nice example: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/TASLP_RNN_SLU_2015.pdf https://www.microsoft.com/en-us/research/wp-content/uploads/...