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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.

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  • 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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