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Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms

TitleEnhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Publication TypeBook Chapter
Year of Publication2000
AuthorsOrăsan C, Evans R, Mitkov R
EditorChristodoulakis DN
Book TitleNatural Language Processing — NLP 2000
Series TitleLecture Notes in Computer Science
CityBerlin / Heidelberg
ISBN Number978-3-540-67605-8

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