acl acl2011 acl2011-257 acl2011-257-reference knowledge-graph by maker-knowledge-mining
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Author: Anna Margolis ; Mari Ostendorf
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 manuallylabeled, 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.
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