Paper: Supervised Coreference Resolution with SUCRE

ACL ID W11-1910
Title Supervised Coreference Resolution with SUCRE
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2011
Authors

This paper presents the coreference resolution system Poly-co submitted to the closed track of the CoNLL-2011 Shared Task. Our sys- tem integrates a multilayer perceptron classi- fier in a pipeline approach. We describe the heuristic used to select the pairs of corefer- ence candidates that are feeded to the network for training, and our feature selection method. The features used in our approach are based on similarity and identity measures, filtering in- formations, like gender and number, and other syntactic information.