Prune-and-Score: Learning for Greedy Coreference Resolution

  title={Prune-and-Score: Learning for Greedy Coreference Resolution},
  author={Chao Ma and Janardhan Rao Doppa and John Walker Orr and Prashanth Mannem and Xiaoli Z. Fern and Thomas G. Dietterich and Prasad Tadepalli},
We propose a novel search-based approach for greedy coreference resolution, where the mentions are processed in order and added to previous coreference clusters. Our method is distinguished by the use of two functions to make each coreference decision: a pruning function that prunes bad coreference decisions from further consideration, and a scoring function that then selects the best among the remaining decisions. Our framework reduces learning of these functions to rank learning, which helps… CONTINUE READING
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