Disambiguation and Filter Methods in Using Web Knowledge for Coreference Resolution
O. Uryupina and M. Poesio
They describe how they use Wikipedia and Yago to increase their Coreference Resolution performance. They use BART to support their efforts. Their classification consists of a anaphor and a potential antecedent, as they describe. Using their associated feature vectors, they use a 'maximum entropy classifier' to determine coreference. They used Wikipedia to improve their aliasing algorithm, which would perform string matching functions. They use Wikipedia based information as a feature, and to disambiguate mentions. They use Yago to supplement their efforts when there are too few features to make any reasonable decisions related to coreference. Yago information is also incorporated as a feature. They tested using ACE with reasonable scores.
Using these publicly available knowledge bases appears to improve performance (2-3% in this case). Something to think about....
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