Focusing for interpretation of pronouns
Computational Linguistics
Resolving anaphors in embedded sentences
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A model-theoretic coreference scoring scheme
MUC6 '95 Proceedings of the 6th conference on Message understanding
Anaphors, PPs and disambiguation process for conceptual analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
PHORA: A NLP System for Spanish
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
An empirically based system for processing definite descriptions
Computational Linguistics
An algorithm for anaphora resolution in Spanish texts
Computational Linguistics - Special issue on computational anaphora resolution
Evaluation-driven design of a robust coreference resolution system
Natural Language Engineering
A probabilistic genre-independent model of pronominalization
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
An empirical investigation of the relation between discourse structure and co-reference
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
A hierarchical account of referential accessibility
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A modular information extraction system
Intelligent Data Analysis
Corpus-based anaphora resolution towards antecedent preference
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Using coreference chains for text summarization
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
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We present an approach to anaphora resolution based on a focusing algorithm, and implemented within an existing MUC (Message Understanding Conference) Information Extraction system, allowing quantitative evaluation against a substantial corpus of annotated real-world texts. Extensions to the basic focusing mechanism can be easily tested, resulting in refinements to the mechanism and resolution rules. Results show that the focusing algorithm is highly sensitive to the quality of syntactic-semantic analyses, when compared to a simpler heuristic-based approach.