An algorithm for pronominal anaphora resolution
Computational Linguistics
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ECML '98 Proceedings of the 10th European Conference on Machine Learning
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Computational Linguistics
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Anaphora for everyone: pronominal anaphora resoluation without a parser
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Corpus-based identification of non-anaphoric noun phrases
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Coreference resolution using competition learning approach
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IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Dependency-driven anaphoricity determination for coreference resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Combining syntactic and semantic features by SVM for unrestricted coreference resolution
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
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EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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Knowledge of noun phrase anaphoricity might be profitably exploited in coreference resolution to bypass the resolution of non-anaphoric noun phrases. However, it is surprising to notice that recent attempts to incorporate automatically acquired anaphoricity information into coreference resolution have been somewhat disappointing. This paper employs a global learning method in determining the anaphoricity of noun phrases via a label propagation algorithm to improve learning-based coreference resolution. In particular, two kinds of kernels, i.e. the feature-based RBF kernel and the convolution tree kernel, are employed to compute the anaphoricity similarity between two noun phrases. Experiments on the ACE 2003 corpus demonstrate the effectiveness of our method in anaphoricity determination of noun phrases and its application in learning-based coreference resolution.