Principles of artificial intelligence
Principles of artificial intelligence
Transition network grammars for natural language analysis
Communications of the ACM
Conceptual Information Processing
Conceptual Information Processing
A process model of language acquisition
A process model of language acquisition
Computational Linguistics
Recovery strategies for parsing extragrammatical language
Computational Linguistics - Special issue on ill-formed input
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Preference semantics, ill-formedness, and metaphor
Computational Linguistics - Special issue on ill-formed input
Computational Linguistics - Special issue on ill-formed input
Responding to semantically ill-formed input
ANLC '88 Proceedings of the second conference on Applied natural language processing
Syntactic preferences for robust parsing with semantic preferences
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
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Natural language interfaces to computers must deal with wide variation in real-world input. This paper proposes that, in order to handle real-world input robustly, a natural language interface should be constructed in accord with principles of integrated processing: processing syntax and semantics at the same time, processing syntax and semantics using the same mechanisms, and processing language and memory using the same mechanisms. This paper describes an experimental natural language interface constructed according to these principles which displays the desired robustness. The success of this interface suggests that future real-world interfaces could achieve robustness by performing integrated processing.