Question detection in spoken conversations using textual conversations

Authors:
Anna Margolis;Mari Ostendorf
Affiliations:
University of Washington, Seattle, WA;University of Washington, Seattle, WA
Venue:
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Year:
2011

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Abstract

We investigate the use of textual Internet conversations for detecting questions in spoken conversations. We compare the text-trained model with models trained on manually-labeled, domain-matched spoken utterances with and without prosodic features. Overall, the text-trained model achieves over 90% of the performance (measured in Area Under the Curve) of the domain-matched model including prosodic features, but does especially poorly on declarative questions. We describe efforts to utilize unlabeled spoken utterances and prosodic features via domain adaptation.