Ranked multidimensional dialogue act annotation

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Abstract

In this paper we propose a dialogue act annotation system allowing ranking of communicative functions of utterances in terms of their perceived importance. It is argued that multidimensional dialogue act annotation schemes, while allowing more than one tag per utterance, implicitly treat all functions as equally important. Consequently, they fail to capture the fact that in a given context some of the functions of an utterance may have a higher priority than its other functions. The present approach tries to improve on this deficiency. The results of an annotation experiment suggest that ranking communicative functions accurately reflects the communicative competence of language users. © 2012 Springer-Verlag.

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Włodarczak, M. (2012). Ranked multidimensional dialogue act annotation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7415 LNCS, pp. 67–77). https://doi.org/10.1007/978-3-642-31467-4_5

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