Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
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چکیده
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 les. The results obtained after optimisation are discussed.
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تاریخ انتشار 2000