Abstract
In previous studies, top-down and bottom-up approaches have been proposed for creating taxonomies of errors in chat-oriented dialogue systems. However, the reported \(\kappa \) (kappa) value for the taxonomy based on the top-down approach is low at 0.239, and no evaluation has been conducted for that based on the bottom-up approach. In this paper, we propose to revise these taxonomies to achieve better inter-annotator agreement. The revised taxonomy based on the bottom-up approach yielded a reasonable \(\kappa \) of 0.44 (Fleiss’ \(\kappa \)), suggesting that this taxonomy can be used reliably to classify errors in chat-oriented dialogue systems.
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Higashinaka, R., Araki, M., Tsukahara, H., Mizukami, M. (2019). Improving Taxonomy of Errors in Chat-Oriented Dialogue Systems. In: D'Haro, L., Banchs, R., Li, H. (eds) 9th International Workshop on Spoken Dialogue System Technology. Lecture Notes in Electrical Engineering, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-13-9443-0_29
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