Focusing in the comprehension of definite anaphora
Readings in natural language processing
An algorithm for pronominal anaphora resolution
Computational Linguistics
Understanding Natural Language
Understanding Natural Language
Cogniac: a discourse processing engine
Cogniac: a discourse processing engine
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Anaphora for everyone: pronominal anaphora resoluation without a parser
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
An Empirical Approach to Spanish Anaphora Resolution
Machine Translation
Multilingual Anaphora Resolution
Machine Translation
Resolution of Demonstrative Anaphoric References in Portuguese Written Texts
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Pronoun Resolution in Spanish from Full Parsing
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Cohesive Generation of Syntactically Simplified Newspaper Text
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
An Annotation Scheme for Dialogues Applied to Anaphora Resolution Algorithms
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Outstanding Issues in Anaphora Resolution (Invited Talk)
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Semantic Knowledge-Driven Method to Solve Pronominal Anaphora in Spanish Texts
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
Information extraction from case law and retrieval of prior cases
Artificial Intelligence - Special issue on AI and law
Introduction to the special issue on computational anaphora resolution
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
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
Multilingual coreference resolution
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Parsing with an extended domain of locality
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Robust pronoun resolution with limited knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Evaluation tool for rule-based anaphora resolution methods
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Resolving pronominal reference to abstract entities
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Coreference resolution with syntactico-semantic rules and corpus statistics
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Overview of the University of Pennsylvania's TIPSTER project: University of Pennsylvania
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
International Journal of Business Intelligence and Data Mining
Mining knowledge from natural language texts using fuzzy associated concept mapping
Information Processing and Management: an International Journal
Learning Coreference Resolution for Portuguese Texts
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Learning-based pronoun resolution for Turkish with a comparative evaluation
Computer Speech and Language
Computational approach to anaphora resolution in Spanish dialogues
Journal of Artificial Intelligence Research
Merging stories with shallow semantics
KRAQ '06 Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
Applying backpropagation networks to anaphor resolution
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Using anaphora resolution to improve opinion target identification in movie reviews
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
AnCora-CO: Coreferentially annotated corpora for Spanish and Catalan
Language Resources and Evaluation
Overview of the protein coreference task in BioNLP Shared Task 2011
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Stanford's multi-pass sieve coreference resolution system at the CoNLL-2011 shared task
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
Anaphora resolution for biomedical literature by exploiting multiple resources
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Storytelling in entity networks to support intelligence analysts
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Incorporating rule-based and statistic-based techniques for coreference resolution
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
Rule-based opinion target and aspect extraction to acquire affective knowledge
Proceedings of the 22nd international conference on World Wide Web companion
Deterministic coreference resolution based on entity-centric, precision-ranked rules
Computational Linguistics
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This paper presents a high precision pronoun resolution system that is capable of greater than 90% precision with 60% and better recall for some pronouns. It is suggested that the system is resolving a sub-set of anaphors that do not require general world knowledge or sophisticated linguistic processing for successful resolution. The system does this by being very sensitive to ambiguity, and only resolving pronouns when very high confidence rules have been satisfied. The system is capable of 'noticing' ambiguity because it requires that there be a unique antecedent within a salience ranking, and the salience rankings are not total orders, i.e. two or more antecedents can be equally salient. Given the nature of the systems rules, it is very likely that they are largely domain independent and that they reflect processing strategies used by humans for general language comprehension. The system has been evaluated in two distinct experiments which support the overall validity of the approach.