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I am looking for resources on Expectation-Maximization for NLP tasks. Ideally, they should be mathematically thorough (vs. just take some soft counts here and there), and give some clear intuitions.
Chapter 14 of the book Foundations of Statistical Natural Language Processing provides a good description of the EM algorithm and its applications in statistical NLP. Here's Chapter 14.
Here's Prof M. Collins notes on The EM algorithm. (Most comprehensive!)
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