Our reranking parser associates a parse with a score v θ (y), which is a linear function of the feature values f (y).
each feature f j is associated with a weight θ j , and the feature values and weights define the score v θ (y) of each parse y as follows: Given a string s, the reranking parser's outputŷ(s) on string s is the highest scoring parse in the n-best parses Y(s) for s, i.e., The feature weight vector θ is estimated from the labelled training corpus as described in section 4.