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2018 | OriginalPaper | Chapter

Chinese Anaphora Resolution Based on Adaptive Forest

Authors : Yunqing Zhao, Jin Liu, Chunyong Yin

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Anaphora resolution is one of the key problems in natural language processing. In natural language, in order to make language concise and to reduce redundancy, often using different words to replace the words or sentence of the same meaning. However, it is difficult for a computer to understand these issues as a human. Some researcher proposed using decision trees to solve this problem, but decision trees may have problems with over-matching. In this paper, we provide a better way called adaptive forest which combine random forest and adaptive boosting to resolve this problem. Experiment result shows the effectiveness of our method in anaphora resolution.

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Metadata
Title
Chinese Anaphora Resolution Based on Adaptive Forest
Authors
Yunqing Zhao
Jin Liu
Chunyong Yin
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_79