C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
A model-theoretic coreference scoring scheme
MUC6 '95 Proceedings of the 6th conference on Message understanding
On coreference resolution performance metrics
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Unrestricted Coreference: Identifying Entities and Events in OntoNotes
ICSC '07 Proceedings of the International Conference on Semantic Computing
Understanding the value of features for coreference resolution
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SemEval-2010 task 1: coreference resolution in multiple languages
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
SUCRE: A modular system for coreference resolution
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Relational feature engineering of natural language processing
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Bootstrapping coreference resolution using word associations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
CoNLL-2011 shared task: modeling unrestricted coreference in OntoNotes
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
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In this paper we present SUCRE (Kobdani and Schütze, 2010) that is a modular coreference resolution system participating in the CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNote (Pradhan et al., 2011). The SUCRE's modular architecture provides a clean separation between data storage, feature engineering and machine learning algorithms.