Thus, on the P&N model, the average conditional entropy per feature given the class (how surprising the feature is when we know the answer) increases by 8.8% when the oracle is unavailable.
there is almost no difference between the conditional entropy of the POS model with oracle features and without, indicating that the errors made by the tagger are not confusing in the disambiguation task.