You are here

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
Volume1835
Pagination185-195
PublisherSpringer
CityBerlin / Heidelberg
ISBN Number978-3-540-67605-8
Abstract

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

URLhttp://books.google.com/books?hl=en&lr=&id=uHVjXXPJR-wC&oi=fnd&pg=PA185&ots=OZU-UBUiYa&sig=qlO0o325m6ZDQKcLFtLISLP9QfE
DOI10.1007/3-540-45154-4_17