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Publication Details

Deductive Question Answering from Multiple Resources

by Waldinger, R. and Appelt, D. E. and Fry, J. and Israel, D. J. and Jarvis, P. and Martin, D. and Riehemann, S. and Stickel, M. E. and Tyson, M. and Hobbs, J. and Dungan, J. L.

in New Directions in Question Answering,

Edited by: Mark Maybury
Published by AAAI
Address: Menlo Park, CA
2004.

Abstract

Questions in natural language are answered by consulting multiple sources and inferring answers from information they provide. An automated deduction system, equipped with an axiomatic application-domain theory, serves as the coordinator for the process. Sources include data bases, Web pages, programs, and unstructured text. Answers may contain text or visualizations. Although the approach is domain-independent, many of our experiments have dealt with geographic questions.

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Associated Projects

Aquaint

Aquaint: From Question-Answering to Information Seeking Dialogs

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Deductive Composition

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DAML

Knowledge Creation Tools for DAML

This project is building ontologies and tools in support of the Semantic Web, as part of the DARPA Agent Markup Language program.

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AIC Personnel

Name Title E-mail
Appelt, Doug E Alumnus
Fry, John S Alumnus
Israel, David J Program Director
Jarvis, Peter A Alumnus
Martin, David L Senior Computer Scientist
Riehemann, Susanne Z. Alumnus
Stickel, Mark E Principal Scientist
Tyson, Mabry Senior Computer Scientist
Waldinger, Richard J Principal Scientist

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