Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
NaLIX: an interactive natural language interface for querying XML
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
An overview of methods and tools for ontology learning from texts
The Knowledge Engineering Review
Constructing a generic natural language interface for an XML database
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Term disambiguation in natural language query for XML
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
NaLIX: A generic natural language search environment for XML data
ACM Transactions on Database Systems (TODS)
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In this paper, we present a learning-based approach for enabling domain-awareness for a generic natural language interface. Our approach automatically acquires domain knowledge from user Interactions and Incorporates the knowledge learned to improve the generic system. We have embedded our approach in a generic natural language interface and evaluated the extended system against two benchmark datasets. We found that the performance of the original generic system can be substantially improved through automatic domain knowledge extraction and incorporation. We also show that the generic system with domain-awareness enabled by our approach can achieve performance similar to that of previous learning-based domain-specific systems.