TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Using English for indexing and retrieving
Artificial intelligence at MIT expanding frontiers
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Omnibase: Uniform Access to Heterogeneous Data for Question Answering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Spanish Natural Language Interface for a Relational Database Querying System
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
An efficient easily adaptable system for interpreting natural language queries
Computational Linguistics
MASQUE/SQL: an efficient and portable natural language query interface for relational databases
IEA/AIE'93 Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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The genitive relation is one of the most complex semantic structures, since it could express wide range of different connection types between entities, even in a single language. Thus, transformation of its syntactic form to a formal computer language is far from clear. In the last decade, several natural language database interfaces (NLIDBs) have been proposed, however, a detailed or a general description of this problem is still missing in the literature. In this paper, we present a general solution for translating genitive phrases into SQL queries which contains both language dependent and language independent parts. Our solution is optimized and tested for Hungarian, however, most of the work can be easily adopted for other languages as well.