Inducing deterministic Prolog parsers from treebanks: A machine learning approach (1994) [29 citations — 6 self]
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by John M. Zelle, Raymond J. Mooney
In Proceedings of the Twelfth National Conference on Artificial Intelligence
ftp://ftp.cs.utexas.edu/pub/mooney/papers/chill-aaai-94.ps.Z
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@INPROCEEDINGS{Zelle94inducingdeterministic,author = {John M. Zelle and Raymond J. Mooney},
title = {Inducing deterministic Prolog parsers from treebanks: A machine learning approach},
booktitle = {In Proceedings of the Twelfth National Conference on Artificial Intelligence},
year = {1994},
pages = {748--753},
publisher = {AAAI Press / MIT Press}
}
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Abstract:
This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach uses recent machine learning methods for inducing Prolog rules from examples (inductive logic programming). We discuss several advantages of this method compared to recent statistical methods and present results on learning complete parsers from portions of the ATIS corpus.
