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COLING
2008

Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns

8 years 11 months ago
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
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 incorporated in a machine learning framework to perform anaphora resolution. The experiments show that machine learning approach combined with the auto-mined knowledge is effective for otheranaphora resolution in the biomedical domain. Our system with auto-mined patterns gives an accuracy of 56.5%., yielding 16.2% improvement against the baseline system without pattern features, and 9% improvement against the system using manually designed patterns.
Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
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