It can be seen from Table 1 that using purely unigram features, the accuracy obtained is not any better than the majority classifier for qualified vs. bald distinction.
the Part-of-Speech bigram features and the not-in-scope features achieve a marginally significant improvement over the unigrams-only baseline.