Implications for generating clarification requests in task-oriented dialogues

Authors:
Verena Rieser;Johanna D. Moore
Affiliations:
Saarland University, Saarbrücken;University of Edinburgh Edinburgh, GB
Venue:
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Year:
2005

Citing 3
Cited 5

Conversation as Action Under Uncertainty

UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Resolving ellipsis in clarification

ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
On the means for clarification in dialogue

SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16

Using machine learning to explore human multimodal clarification strategies

COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Clarification potential of instructions

SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Learning human multimodal dialogue strategies

Natural Language Engineering
The dynamics of action corrections in situated interaction

SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Learning and evaluation of dialogue strategies for new applications: Empirical methods for optimization from small data sets

Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Clarification requests (CRs) in conversation ensure and maintain mutual understanding and thus play a crucial role in robust dialogue interaction. In this paper, we describe a corpus study of CRs in task-oriented dialogue and compare our findings to those reported in two prior studies. We find that CR behavior in task-oriented dialogue differs significantly from that in everyday conversation in a number of ways. Moreover, the dialogue type, the modality and the channel quality all influence the decision of when to clarify and at which level of the grounding process. Finally we identify form-function correlations which can inform the generation of CRs.