The total cost can be represented as: where l f is the cost to code the index of the feature and l θ is the number of bits required to code the coefficient of the selected feature.
we used "foreground/background" clustering to find cohesive clusters for various word senses in the ONTONOTES data, considering both "semantic" and "syntactic" similarity between the word senses.