TY - GEN
T1 - Learning to balance grounding rationales for dialogue systems
AU - Gordon, Joshua
AU - Passonneau, Rebecca J.
AU - Epstein, Susan L.
PY - 2011
Y1 - 2011
N2 - This paper reports on an experiment that investigates clarification subdialogues in intentionally noisy speech recognition. The architecture learns weights for mixtures of grounding strategies from examples provided by a human wizard embedded in the system. Results indicate that the architecture learns to eliminate misunderstandings reliably despite high word error rate.
AB - This paper reports on an experiment that investigates clarification subdialogues in intentionally noisy speech recognition. The architecture learns weights for mixtures of grounding strategies from examples provided by a human wizard embedded in the system. Results indicate that the architecture learns to eliminate misunderstandings reliably despite high word error rate.
UR - http://www.scopus.com/inward/record.url?scp=84857738591&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857738591&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84857738591
SN - 9781937284107
T3 - Proceedings of the SIGDIAL 2011 Conference: 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SP - 266
EP - 271
BT - Proceedings of the SIGDIAL 2011 Conference
T2 - 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2011
Y2 - 17 June 2011 through 18 June 2011
ER -