Disambiguation and filtering methods in using web knowledge for coreference resolution

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Disambiguation and filtering methods in using web knowledge for coreference resolution is a 2011 conference paper written in English by Uryupina O., Poesio M., Giuliano C., Tymoshenko K. and published in Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24.

[edit] Abstract

We investigate two publicly available web knowledge bases, Wikipedia and Yago, in an attempt to leverage semantic information and increase the performance level of a state-of-the-art coreference resolution (CR) engine. We extract semantic compatibility and aliasing information from Wikipedia and Yago, and incorporate it into a CR system. We show that using such knowledge with no disambiguation and filtering does not bring any improvement over the baseline, mirroring the previous findings (Ponzetto and Poesio 2009). We propose, therefore, a number of solutions to reduce the amount of noise coming from web resources: using disambiguation tools for Wikipedia, pruning Yago to eliminate the most generic categories and imposing additional constraints on affected mentions. Our evaluation experiments on the ACE-02 corpus show that the knowledge, extracted from Wikipedia and Yago, improves our system's performance by 2-3 percentage points. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

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