Explanation-based generalisation = partial evaluation
Artificial Intelligence
Explanation-based learning: a problem solving perspective
Artificial Intelligence
Explanation-Based Generalization: A Unifying View
Machine Learning
The problem of logical-form equivalence
Computational Linguistics - Special issue on using large corpora: I
Some novel applications of Explanation-Based Learning to parsing Lexicalized Tree-Adjoining Grammars
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Fast parsing using pruning and grammar specialization
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
TDL: a type description language for constraint-based grammars
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Generation of paraphrases from ambiguous logical forms
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
An efficient algorithm for surface generation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Experiments with corpus-based LFG specialization
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Experiments with Learning Parsing Heuristics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A formal approach to subgrammar extraction for NLP
Mathematical and Computer Modelling: An International Journal
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This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learning EBL. The main advantage for the proposed new method for NLG is that the complexity of the grammatical decision making process during NLG can be vastly reduced, because the EBL method supports the adaption of a NLG system to a particular use of a language.