Abstract
Two sets of linguistic features are developed: The first one to estimate if a single step in a dialogue between a human being and a machine is successful or not. The second set to classify dialogues as a whole. The features are based on Part-of-Speech-Labels (POS), word statistics and properties of turns and dialogues. Experiments were carried out on the SympaFly corpus, data from a real application in the flight booking domain. A single dialogue step could be classified with an accuracy of 83% (class-wise averaged recognition rate). The recognition rate for whole dialogues was 85%.
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Steidl, S., Hacker, C., Ruff, C., Batliner, A., Nöth, E., Haas, J. (2004). Looking at the Last Two Turns, I’d Say This Dialogue Is Doomed – Measuring Dialogue Success. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_79
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DOI: https://doi.org/10.1007/978-3-540-30120-2_79
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