TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Deriving expectations to guide knowledge base creation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Representing roles and purpose
Proceedings of the 1st international conference on Knowledge capture
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Enabling domain experts to convey questions to a machine: a modified, template-based approach
Proceedings of the 2nd international conference on Knowledge capture
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
On the interaction of metonymies and anaphora
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
The knowledge required to interpret noun compounds
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Integrating expectations from different sources to help end users acquire procedural knowledge
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Capturing and answering questions posed to a knowledge-based system
Proceedings of the 4th international conference on Knowledge capture
Proceedings of the 4th international conference on Knowledge capture
Automatic interpretation of loosely encoded input
Artificial Intelligence
Learning by reading: a prototype system, performance baseline and lessons learned
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Finding ontological correspondences for a domain-independent natural language dialog agent
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Interpretation and generation in a knowledge-based tutorial system
KRAQ '06 Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
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Knowledge-based question-answering systems have become quite competent and robust at answering a wide range of questions in different domains, however in order to ask questions correctly, one needs to have intimate knowledge of the structure of the knowledge base, and typical users lack this knowledge. We address this problem by developing a system that uses the content of the knowledge base to automatically align a user's encoding of a query to the structure of the knowledge base. Our preliminary evaluation shows the system detects and corrects most misalignments, and users are able to pose most questions quickly.