Clark and Curran (2004a) propose a simple method for calculating P (C i = c|S): use the word and POS features in the local context to calculate the probability and ignore the previously assigned categories (the history).
although POS tagging accuracy seems high, maintaining some POS tag ambiguity in the language processing pipeline results in more accurate CCG supertagging.