Communicating with databases in natural language
Communicating with databases in natural language
Problems and some solutions in customization of natural language database front ends
ACM Transactions on Information Systems (TOIS)
TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
The vocabulary problem in human-system communication
Communications of the ACM
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
An English language question answering system for a large relational database
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
An efficient easily adaptable system for interpreting natural language queries
Computational Linguistics
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In most natural language database interfaces (NLDBI), translation knowledge acquisition heavily depends on human specialties, consequently undermining domain portability. This paper attempts to semi-automatically construct translation knowledge by introducing a physical Entity-Relationship schema, and by simplifying translation knowledge structures. Based on this semi-automatically produced translation knowledge, a noun translation method is proposed in order to resolve NLDBI translation ambiguities.