If there are constraint functions G for all model feature functions F j , and the target expectations G are estimated from labeled data, then the globally optimal parameter setting under the GE objective function is equivalent to the maximum likelihood solution.
gE does not require such a one-to-one correspondence between constraint functions and model feature functions.