An algorithm for pronominal anaphora resolution
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Learning to Parse Natural Language with Maximum Entropy Models
Machine Learning - Special issue on natural language learning
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Design and enhanced evaluation of a robust anaphor resolution algorithm
Computational Linguistics - Special issue on computational anaphora resolution
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Robust pronoun resolution with limited knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
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ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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HLT '93 Proceedings of the workshop on Human Language Technology
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ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
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Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages
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ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Zero-anaphora resolution by learning rich syntactic pattern features
ACM Transactions on Asian Language Information Processing (TALIP)
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COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
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EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
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AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
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CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
UBIU: A language-independent system for coreference resolution
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Blanc: Implementing the rand index for coreference evaluation
Natural Language Engineering
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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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CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
UBIU for multilingual coreference resolution in OntoNotes
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
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In this paper, we study the impact of a group of features extracted automatically from machine-generated parse trees on coreference resolution. One focus is on designing syntactic features using the binding theory as the guideline to improve pronoun resolution, although linguistic phenomenon such as apposition is also modeled. These features are applied to the Arabic, Chinese and English coreference resolution systems and their effectiveness is evaluated on data from the Automatic Content Extraction (ACE) task. The syntactic features improve the Arabic and English systems significantly, but play a limited role in the Chinese one. Detailed analyses are done to understand the syntactic features' impact on the three coreference systems.