Learning semantic grammars with constructive inductive logic programming (1993) [64 citations — 14 self]
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by John M. Zelle, Raymond J. Mooney
In Proceedings of the Eleventh National Conference on Artificial Intelligence
ftp://ftp.cs.utexas.edu/pub/mooney/papers/chill-aaai-93.ps.gz
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@INPROCEEDINGS{Zelle93learningsemantic,author = {John M. Zelle and Raymond J. Mooney},
title = {Learning semantic grammars with constructive inductive logic programming},
booktitle = {In Proceedings of the Eleventh National Conference on Artificial Intelligence},
year = {1993},
pages = {817--822},
publisher = {Morgan Kaufmann}
}
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Abstract:
Automating the construction of semantic grammars is a difficult and interesting problem for machine learning. This paper shows how the semantic-grammar acquisition problem can be viewed as the learning of search-control heuristics in a logic program. Appropriate control rules are learned using a new first-order induction algorithm that automatically invents useful syntactic and semantic categories. Empirical results show that the learned parsers generalize well to novel sentences and out-perform previous approaches based on connectionist techniques.
