PartsID: a dialogue-based system for identifying parts for medical systems

Authors:
Amit Bagga;Tomek Strzalkowski;G. Bowden Wise
Affiliations:
Information Technology Laboratory, Niskayuna, NY;Information Technology Laboratory, Niskayuna, NY;Information Technology Laboratory, Niskayuna, NY
Venue:
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Year:
2000

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Abstract

This paper describes a system that provides customer service by allowing users to retrieve identification numbers of parts for medical systems using spoken natural language dialogue. The paper also presents an evaluation of the system which shows that the system successfully retrieves the identification numbers of approximately 80% of the parts.