Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An algorithm for pronominal anaphora resolution
Computational Linguistics
Evolutionary computation
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The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MARS - a program for automatic 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 improvement up to 8% for some files. The results obtained after optimisation are discussed.