树库解析器的装袋与提升
计算与语言
2007-05-23 v1
摘要
装袋与提升是两种有效的机器学习技术，已被应用于自然语言解析。描述了使用这些技术与可训练统计解析器的实验。最佳 resulting system provides roughly as large of a gain in F-measure as doubling the corpus size. Error analysis of the result of the boosting technique reveals some inconsistent annotations in the Penn Treebank, suggesting a semi-automatic method for finding inconsistent treebank annotations.
引用
@article{arxiv.cs/0006011,
title = {Bagging and Boosting a Treebank Parser},
author = {John C. Henderson and Eric Brill},
journal= {arXiv preprint arXiv:cs/0006011},
year = {2007}
}
备注
8 pages