Motivated by the desire to utilize unlabeled examples (discussed later), we define training as an integrated task in which pairwise NP coreference decisions are learned together with the clustering function as opposed to treating each NP pair as a training example.
our training phase takes as input a set of documents with manually annotated opinion sources together with coreference annotations for the sources; it outputs a classifier that can produce source coreference chains for previously unseen documents contain-ing marked (manually or automatically) opinion sources.