Decision tree parsing using a hidden derivation model (1994)
by
E Jelinek
,
J. Lafferty
,
D. Magerman
,
R. Mercer
,
A. Ratnaparkhi
,
S. Roukos
| Venue: | Proc. Darpa Speech and Natural Language Workshop |
| Citations: | 45 - 7 self |
BibTeX
@INPROCEEDINGS{Jelinek94decisiontree,
author = {E Jelinek and J. Lafferty and D. Magerman and R. Mercer and A. Ratnaparkhi and S. Roukos},
title = {Decision tree parsing using a hidden derivation model},
booktitle = {Proc. Darpa Speech and Natural Language Workshop},
year = {1994}
}
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Abstract
Parser development is generally viewed as a primarily linguistic enterprise. A grammarian examines sentences, skillfully extracts the linguistic generalizations evident in the data, and writes grammar rules which cover the language. The grammarian
Citations
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| 136 | Natural Language Parsing as Statistical Pattern Recognition - Magerman - 1994 |
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| 43 | Efficiency, robustness, and accuracy in picky chart parsing - Magerman, Weir - 1992 |
| 29 | Generating a grammar for statistical training - Sharman, Jelinek, et al. - 1990 |
