Multilingual Anaphora Resolution
Machine Translation
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Multilingual coreference resolution
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Memory-Based Language Processing (Studies in Natural Language Processing)
Memory-Based Language Processing (Studies in Natural Language Processing)
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Multi-lingual coreference resolution with syntactic features
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Supervised models for coreference resolution
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
SemEval-2010 task 1: Coreference resolution in multiple languages
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UBIU: A language-independent system for coreference resolution
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
BART: A multilingual anaphora resolution system
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
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
Stanford's multi-pass sieve coreference resolution system at the CoNLL-2011 shared task
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
CoNLL-2012 shared task: Modeling Multilingual Unrestricted Coreference in OntoNotes
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
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The current work presents the participation of UBIU (Zhekova and Kübler, 2010) in the CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes (Pradhan et al., 2012). Our system deals with all three languages: Arabic, Chinese and English. The system results show that UBIU works reliably across all three languages, reaching an average score of 40.57 for Arabic, 46.12 for Chinese, and 48.70 for English. For Arabic and Chinese, the system produces high precision, while for English, precision and recall are balanced, which leads to the highest results across languages.