Transition network grammars for natural language analysis
Communications of the ACM
An ALGOL-based associative language
Communications of the ACM
Tramp: An interpretive associative processor with deductive capabilities
ACM '68 Proceedings of the 1968 23rd ACM national conference
Experiments with a powerful parser
COLING '67 Proceedings of the 1967 conference on Computational linguistics
ACM Transactions on Database Systems (TODS)
Retrieval operations and data representations in a context-addressed disc system
SIGPLAN '73 Proceedings of the 1973 meeting on Programming languages and information retrieval
Problems in natural-language interface to DBMS with examples from EUFID
ANLC '83 Proceedings of the first conference on Applied natural language processing
The future of specialized languages
AFIPS '72 (Spring) Proceedings of the May 16-18, 1972, spring joint computer conference
A multi-level relational system
AFIPS '75 Proceedings of the May 19-22, 1975, national computer conference and exposition
Deductive methods for large data bases
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
TORUS: a natural language understanding system for data management
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
On natural language based computer systems
IBM Journal of Research and Development
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This paper presents an overview of research in progress in which the principal aim is the achievement of more natural and expressive modes of on-line communication with complexly structured data bases. A natural-language compiler has been constructed that accepts sentences in a user-extendable English subset, produces surface and deep-structure syntactic analyses, and uses a network of concepts to construct semantic interpretations formalized as computable procedures. The procedures are evaluated by a data management system that updates, modifies, and searches data bases that can be formalized as finite models of states of affairs. The system has been designed and programmed to handle large vocabularies and large collections of facts efficiently. Plans for extending the research vehicle to interface with a deductive inference component and a voice input-output effort are briefly described.