Title | Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms |
Publication Type | Book Chapter |
Year of Publication | 2000 |
Authors | Orăsan C, Evans R, Mitkov R |
Editor | Christodoulakis DN |
Book Title | Natural Language Processing — NLP 2000 |
Series Title | Lecture Notes in Computer Science |
Volume | 1835 |
Pagination | 185-195 |
Publisher | Springer |
City | Berlin / Heidelberg |
ISBN Number | 978-3-540-67605-8 |
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 |
URL | http://books.google.com/books?hl=en&lr=&id=uHVjXXPJR-wC&oi=fnd&pg=PA185&ots=OZU-UBUiYa&sig=qlO0o325m6ZDQKcLFtLISLP9QfE |
DOI | 10.1007/3-540-45154-4_17 |
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