Paper Info
Title
Targeted Help for Spoken Dialogue Systems
Abstract
We present experimental evidence that providing naive users of a spoken dialogue system with immediate help messages related to their out-of-coverage utterances improves their success in using the system. A grammar-based recognizer and a Statistical Language Model (SLM) recognizer are mn simultaneously.
Year
Venue
Field
2003
EACL
Computer science,Artificial intelligence,Natural language processing,Linguistics
DocType
Citations 
PageRank 
Conference
2
0.37
References 
Authors
3
8
Name
Order
Citations
PageRank
Beth Ann Hockey121236.35
Oliver Lemon2107286.38
Ellen Campana3669.49
Laura M. Hiatt414319.02
Gregory Aist512529.06
James Hieronymus6256.87
John Dowding77117.10
Alexander Gruenstein821623.52