We extract the following features for every candidate: the candidate phrase itself, its head word, the unigram and bigram before and after the candidate in the sentence where it appeared, its entity type (person, location, organization, and date/time), as well as features derived from dependency parse trees.
we first apply the Stanford lexical parser to our data (de Marneffe et al., 2006).