Other-anaphora resolution in biomedical texts with automatically mined patterns
Bin Chen, Yang Xiaofeng, Jian Su, Tan Chew Lim · 2008
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.