Comma restoration using constituency information
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CitationStuart M. Shieber and Xiaopeng Tao. Comma restoration using constituency information. In Proceedings of the 2003 Human Language Technology Conference and Conference of the North American Chapter of the Association for Computational Linguistics, pages 221-227, Edmonton, AB, Canada, 2003.
AbstractAutomatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility that syntactic information can be used to improve the performance of an HMM-based system for restoring punctuation (specifically, commas) in text. Our best methods reduce sentence error rate substantially - by some 20%, with an additional 8% reduction possible given improvements in extraction of the requisite syntactic information.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:2094442
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