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
Bootstrapping path-based pronoun resolution
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Modeling local coherence: An entity-based approach
Computational Linguistics
EM works for pronoun anaphora resolution
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
NADA: a robust system for non-referential pronoun detection
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
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Antelogue is a pronoun resolution prototype designed to be released as off-the-shelf software to be used autonomously or integrated with larger anaphora resolution or other NLP systems. It has modules to handle pronouns in both text and dialogue. In Antelogue, the problem of pronoun resolution is addressed as a two-step process: a) acquiring information about properties of words and the entities they represent and b) determining an algorithm that utilizes these features to make resolution decisions. A hybrid approach is implemented that combines known statistical and machine learning techniques for feature acquisition and a symbolic algorithm for resolution.