TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
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NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
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VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
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VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
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EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
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NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
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Data & Knowledge Engineering
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ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
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CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
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NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
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NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
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This short paper introduces the STEP system for natural language access to relational databases. In contrast to most work in the area, STEP adopts a phrasal approach; an administrator couples phrasal patterns to elementary expressions of tuple relational calculus. This ‘phrasal lexicon' is used bi-directionally, enabling the generation of natural language from tuple relational calculus and the inverse parsing of natural language to tuple calculus. This ability to both understand and generate natural language enables STEP to engage the user in clarification dialogs when the parse of their query is of questionable quality or is open to multiple interpretations. An on-line demonstration of STEP is accessible at http://www.cs.umu.se/~mjm/step.