TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
An English language question answering system for a large relational database
Communications of the ACM
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
CADE-18 Proceedings of the 18th International Conference on Automated Deduction
DaNaLIX: a domain-adaptive natural language interface for querying XML
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Robust parsing and spoken negotiative dialogue with databases
Natural Language Engineering
A phrasal approach to natural language interfaces over databases
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Natural language updates to databases through dialogue
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Towards Building Robust Natural Language Interfaces to Databases
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Shedding Light on a Troublesome Issue in NLIDBS
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
C-Phrase: A system for building robust natural language interfaces to databases
Data & Knowledge Engineering
Describing and deriving certain answers over partial databases
Journal of Intelligent Information Systems
Dialogue manager for a NLIDB for solving the semantic ellipsis problem in query formulation
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
| Hi-index | 0.00 |
This demonstration showcases the STEP system for natural language access to relational databases. In STEP an administrator authors a highly structured semantic grammar through coupling phrasal patterns to elementary expressions within a decidable fragment of tuple relational calculus. The resulting phrasal lexicon serves as a bi-directional grammar, 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. The STEP system is nearing completion and will soon be field tested in several domains.