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Unsupervised word sense disambiguation rivaling supervised methods (1995)
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| Venue: | IN PROCEEDINGS OF THE 33RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS |
| Citations: | 638 - 4 self |
BibTeX
@INPROCEEDINGS{Yarowsky95unsupervisedword,
author = {David Yarowsky},
title = {Unsupervised word sense disambiguation rivaling supervised methods},
booktitle = {IN PROCEEDINGS OF THE 33RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS},
year = {1995},
pages = {189--196},
publisher = {}
}
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Abstract
This paper presents an unsupervised learning algorithm for sense disambiguation that, when trained on unannotated English text, rivals the performance of supervised techniques that require time-consuming hand annotations. The algorithm is based on two powerful constraints -- that words tend to have one sense per discourse and one sense per collocation -- exploited in an iterative bootstrapping procedure. Tested accuracy exceeds 96%.
