An empirically based system for processing definite descriptions
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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)
Learning to resolve bridging references
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Learning Coreference Resolution for Portuguese Texts
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Coreference-inspired coherence modeling
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
A chain-starting classifier of definite NPs in Spanish
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Learning information status of discourse entities
EMNLP '06 Proceedings of the 2006 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
Supervised models for coreference resolution
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Supervised noun phrase coreference research: the first fifteen years
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Corry: A system for coreference resolution
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Narrowing the modeling gap: a cluster-ranking approach to coreference resolution
Journal of Artificial Intelligence Research
Learning the information status of noun phrases in spoken dialogues
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Automatically acquiring fine-grained information status distinctions in German
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Language Resources and Evaluation
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Coreference resolution systems usually attempt to find a suitable antecedent for (almost) every noun phrase. Recent studies, however, show that many definite NPs are not anaphoric. The same claim, obviously, holds for the indefinites as well.In this study we try to learn automatically two classifications, ±discourse_new and ±unique, relevant for this problem. We use a small training corpus (MUC-7), but also acquire some data from the Internet. Combining our classifiers sequentially, we achieve 88.9% precision and 84.6% recall for discourse new entities.We expect our classifiers to provide a good prefiltering for coreference resolution systems, improving both their speed and performance.