ASK is transportable in half a dozen ways
ACM Transactions on Information Systems (TOIS)
An analysis of compounds in HPSG (head-driven phrase structure grammar) for database queries
Data & Knowledge Engineering
An English language question answering system for a large relational database
Communications of the ACM
Handbook of Natural Language Processing
Handbook of Natural Language Processing
Computational Linguistics
An efficient easily adaptable system for interpreting natural language queries
Computational Linguistics
Problems in natural-language interface to DBMS with examples from EUFID
ANLC '83 Proceedings of the first conference on Applied natural language processing
Towards a workbench for acquisition of domain knowledge from natural language
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
The role of lexico-semantic feedback in open-domain textual question-answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for 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
MAYA: a fast Question-answering system based on a predictive answer indexer
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
A Dialogue-Based NLIDB System in a Schedule Management Domain
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
A proposed architecture for dynamically built NLIDB systems
International Journal of Knowledge-based and Intelligent Engineering Systems
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This paper describes a highly-portable multilingual question answering system on multiple relational databases. We apply semantic category and pattern-based grammars, into natural language interfaces to relational databases. Lexico-semantic pattern (LSP) and multi-level grammars achieve portability of languages, domains, and DBMSs. The LSP-based linguistic processing does not require deep analysis that sacrifices robustness and flexibility, but can handle delicate natural language questions. To maximize portability, we drive various dependent parts into two tight corners, i.e., language-dependent part into front linguistic analysis, and domain-dependent and database-dependent parts into backend SQL query generation. Experiments with 779 queries generate only constraint-missing errors, which can be easily corrected by adding new terms, of 2.25% for English and 5.67% for Korean.