On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1523-1527.
Abstract
We examine the utility of a curriculum (a means of presenting training samples in a meaningful order) in unsupervised learning of probabilistic grammars. We introduce the {em incremental construction hypothesis} that explains the benefits of a curriculum in learning grammars and offers some useful insights into the design of curricula as well as learning algorithms. We present results of experiments with (a) carefully crafted synthetic data that provide support for our hypothesis and (b) natural language corpus that demonstrate the utility of curricula in unsupervised learning of probabilistic grammars.
@inproceedings{ijcai2011p256,
title = {On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars},
author = {Tu, Kewei and Honavar, Vasant G.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1523--1527},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-256},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-256},
}
TY - CPAPER TI - On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars AU - Tu, Kewei AU - Honavar, Vasant G. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1523 EP - 1527 DO - 10.5591/978-1-57735-516-8/IJCAI11-256 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-256 ER -Copied
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