C4.5: programs for machine learning
C4.5: programs for machine learning
An algorithm for pronominal anaphora resolution
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
An empirically based system for processing definite descriptions
Computational Linguistics
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Anaphora for everyone: pronominal anaphora resoluation without a parser
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Corpus-based identification of non-anaphoric noun phrases
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A model-theoretic coreference scoring scheme
MUC6 '95 Proceedings of the 6th conference on Message understanding
Improving machine learning approaches to coreference resolution
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A machine learning approach to pronoun resolution in spoken dialogue
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Coreference resolution using competition learning approach
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Comparing Knowledge Sources for Nominal Anaphora Resolution
Computational Linguistics
Anaphora resolution by antecedent identification followed by anaphoricity determination
ACM Transactions on Asian Language Information Processing (TALIP)
Exploiting syntactic patterns as clues in zero-anaphora resolution
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)
ACM Transactions on Speech and Language Processing (TSLP)
Enforcing transitivity in coreference resolution
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
BestCut: a graph algorithm for coreference resolution
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Specialized models and ranking for coreference resolution
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Graph-cut-based anaphoricity determination for coreference resolution
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Global learning of noun phrase anaphoricity in coreference resolution via label propagation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Using topic themes for multi-document summarization
ACM Transactions on Information Systems (TOIS)
Supervised noun phrase coreference research: the first fifteen years
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Using Background Knowledge to Support Coreference Resolution
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Dependency-driven anaphoricity determination for coreference resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Identification of non-referential zero pronouns for Korean-English machine translation
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Supporting natural language processing with background knowledge: coreference resolution case
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Learning noun phrase anaphoricity in coreference resolution via label propagation
Journal of Computer Science and Technology - Special issue on natural language processing
Journal of Biomedical Informatics
Opinion mining as extraction of attribute-value relations
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Learning the information status of noun phrases in spoken dialogues
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Combining the best of two worlds: a hybrid approach to multilingual coreference resolution
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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Knowledge of the anaphoricity of a noun phrase might be profitably exploited by a coreference system to bypass the resolution of non-anaphoric noun phrases. Perhaps surprisingly, recent attempts to incorporate automatically acquired anaphoricity information into coreference systems, however, have led to the degradation in resolution performance. This paper examines several key issues in computing and using anaphoricity information to improve learning-based coreference systems. In particular, we present a new corpus-based approach to anaphoricity determination. Experiments on three standard coreference data sets demonstrate the effectiveness of our approach.