Bootstrap Voting Experts
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1071-1075.
Abstract
Bootstrap Voting Experts (BVE) is an extension to the Voting Experts algorithm for unsupervised chunking of sequences. BVE generates a series of segmentations, each of which incorporates knowledge gained from the previous segmentation. We show that this method of bootstrapping improves the performance of Voting Experts in a variety of unsupervised word segmentation scenarios, and generally improves both precision and recall of the algorithm. We also show that Minimum Description Length (MDL) can be used to choose nearly optimal parameters for Voting Experts in an unsupervised manner.Daniel Hewlett, Paul Cohen
@inproceedings{ijcai2009p181,
title = {Bootstrap Voting Experts},
author = {Hewlett, Daniel and Cohen, Paul R.},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1071--1075},
year = {2009},
url = {https://ijcai.org/proceedings/2009/181},
}
TY - CPAPER TI - Bootstrap Voting Experts AU - Hewlett, Daniel AU - Cohen, Paul R. T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1071 EP - 1075 UR - https://ijcai.org/proceedings/2009/181 ER -Copied
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