Supervised Models for Coreference Resolution

@inproceedings{Rahman2009SupervisedMF,
  title={Supervised Models for Coreference Resolution},
  author={Altaf Rahman and Vincent Ng},
  booktitle={EMNLP},
  year={2009}
}
Traditional learning-based coreference resolvers operate by training amentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of recent research have attempted to improve these mention-pair classifiers, one by learning amentionranking model to rank preceding mentions for a given anaphor, and the other by training an entity-mention classifier to determine whether a preceding cluster is coreferent with a given mention. We propose a cluster-ranking… CONTINUE READING
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