Boosting Applied to Tagging and PP Attachment (1999)
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by
Steven Abney
,
Robert E. Schapire
,
Yoram Singer
| Venue: | In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora |
| Citations: | 62 - 6 self |
BibTeX
@INPROCEEDINGS{Abney99boostingapplied,
author = {Steven Abney and Robert E. Schapire and Yoram Singer},
title = {Boosting Applied to Tagging and PP Attachment},
booktitle = {In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora},
year = {1999},
pages = {38--45}
}
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Abstract
Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.
