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- W149508282 abstract "This chapter is concerned with the incremental understanding of utterances in spoken dialogue, with a focus on how their intended (possibly multiple) communicative functions can be recognized in a data-oriented way on the basis of observable features of communicative behaviour. An incremental, token-based approach is described which combines the use of local classifiers, that exploit local utterance features, and global classifiers that use the outputs of local classifiers applied to previous and subsequent tokens. This approach is shown to result in excellent dialogue act recognition scores for unsegmented spoken dialogue. This can be seen as a significant step forward towards the development of fully incremental, on-line methods for computing the meaning of utterances in spoken dialogue." @default.
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- W149508282 date "2014-01-01" @default.
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- W149508282 title "Incremental Recognition and Prediction of Dialogue Acts" @default.
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- W149508282 doi "https://doi.org/10.1007/978-94-007-7284-7_13" @default.
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