Paper: Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns

ACL ID C08-1016
Title Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a candidate antecedent. The knowledge from lexical patterns is incor- porated in a machine learning framework to perform anaphora resolution. The ex- periments show that machine learning approach combined with the auto-mined knowledge is effective for other- anaphora resolution in the biomedical domain. Our system with auto-mined pat- terns gives an accuracy of 56.5%., yield- ing 16.2% improvement against the base- line system without pattern features, and 9% improvement against the system us- ing manually designed patterns.