A dictionary based on concept coherence
Artificial Intelligence
The acquisition of syntactic knowledge
The acquisition of syntactic knowledge
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Mechanisms of sentence processing: assigning roles to constituents
Parallel distributed processing
NETtalk: a parallel network that learns to read aloud
Neurocomputing: foundations of research
Computing outlines from descriptive texts
Computing outlines from descriptive texts
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Natural Language Processing in LISP: An Introduction to Computational Linguistics
Natural Language Processing in LISP: An Introduction to Computational Linguistics
A Constraint Satisfaction Neural Network for Case Analysis,
A Constraint Satisfaction Neural Network for Case Analysis,
Text-driven construction of discourse structures for understanding descriptive texts
Text-driven construction of discourse structures for understanding descriptive texts
Improving learning by choosing examples intelligently in two natural language tasks
Learning language in logic
Natural Language Engineering
Learning parse and translation decisions from examples with rich context
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Experiments with Learning Parsing Heuristics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
An efficient syntactic tagging tool for corpora
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A decision-based approach to rhetorical parsing
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
HLT '94 Proceedings of the workshop on Human Language Technology
SARDSRN: a neural network shift-reduce parser
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning semantic grammars with constructive inductive logic programming
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
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This paper introduces a paradigm of context-dependent grammar (CDG) and an acquisition system that, through interactive teaching sessions, accumulates the CDG rules. The resulting context-sensitive rules are used by a stack-based, shift/reduce parser to compute unambiguous syntactic structures of sentences. The acquisition system and parser have been applied to the phrase structure and case analyses of 345 sentences, mainly from newswire stories, with 99% accuracy. Extrapolation from our current grammar predicts that about 25 thousand CDG rule examples will be sufficient to train the system in phrase structure analysis of most news stories. Overall, this research concludes that CDG is a computationally and conceptually tractable approach for the construction of sentence grammar for large subsets of natural language text.