A mention-synchronous coreference resolution algorithm based on the Bell tree
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Machine learning for coreference resolution: from local classification to global ranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
HunPos: an open source trigram tagger
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
SemEval-2010 task 1: Coreference resolution in multiple languages
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval-2010 task 1: Coreference resolution in multiple languages
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Translation-based projection for multilingual coreference resolution
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Our submission to the Semeval 2010 task on coreference resolution in multiple languages is based on parse analysis and similarity clustering. The system uses a binary classifier, based on Maximum Entropy, to decide whether or not there is a relationship between each pair of mentions extracted from a textual document. Mention detection is based on the analysis of the dependency parse tree.