Staord Street,

Abstract. The paper argues that a promising way to improve the suc-cess rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MARS- a program for auto-matic resolution of pronominal anaphors and describes an experiment which we have conducted to optimise the success rate of MARS with the help of a genetic algorithm. After the optimisation we noted an improve-ment up to 8 % for some les. The results obtained after optimisation are discussed.