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%. © Springer-Veriag Berlin Heidelberg 2004.
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CITATION STYLE
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 Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3206, pp. 629–636). Springer Verlag. https://doi.org/10.1007/978-3-540-30120-2_79
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