FERRET: interactive question-answering for real-world environments

Authors:
Andrew Hickl;Patrick Wang;John Lehmann;Sanda Harabagiu
Affiliations:
Language Computer Corporation, Richardson, Texas;Language Computer Corporation, Richardson, Texas;Language Computer Corporation, Richardson, Texas;Language Computer Corporation, Richardson, Texas
Venue:
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Year:
2006

Citing 4
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Abstract

This paper describes FERRET, an interactive question-answering (Q/A) system designed to address the challenges of integrating automatic Q/A applications into real-world environments. FERRET utilizes a novel approach to Q/A - known as predictive questioning - which attempts to identify the questions (and answers) that users need by analyzing how a user interacts with a system while gathering information related to a particular scenario.