Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Text and knowledge mining for coreference resolution
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Exploiting semantic role labeling, WordNet and Wikipedia for coreference resolution
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Kernel methods, syntax and semantics for relational text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
BART: a modular toolkit for coreference resolution
HLT-Demonstrations '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Demo Session
SemEval-2010 task 1: Coreference resolution in multiple languages
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
A first machine learning approach to pronominal anaphora resolution in Basque
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
A cross-lingual ILP solution to zero anaphora resolution
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Efficient convolution kernels for dependency and constituent syntactic trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
NADA: a robust system for non-referential pronoun detection
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
CoNLL-2012 shared task: Modeling Multilingual Unrestricted Coreference in OntoNotes
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
| Hi-index | 0.00 |
This paper describes the UniTN/Essex submission to the CoNLL-2012 Shared Task on the Multilingual Coreference Resolution. We have extended our CoNLL-2011 submission, based on BART, to cover two additional languages, Arabic and Chinese. This paper focuses on adapting BART to new languages, discussing the problems we have encountered and the solutions adopted. In particular, we propose a novel entity-mention detection algorithm that might help identify nominal mentions in an unknown language. We also discuss the impact of basic linguistic information on the overall performance level of our coreference resolution system.