When a sentence including the word "good" is labeled as "PP", our model not only generate the state feature (good, "PP"), but also two implicit redundant state feature (good, "positive") and (good, "subjective").
the subsequent classification cannot provide constraint and correction to the results of the preceding step, which will lead to the accumulation and propagation of the classification errors.