Abstract
It is difficult to determine the cause of a breakdown in a dialogue when using a chat-oriented dialogue system due to a wide variety of possible causes. To address this problem, we analyzed a chat dialogue corpus and formulated a taxonomy of the errors that could lead to dialogue breakdowns. The experimental results demonstrated the effectiveness of the taxonomy to some degree. We also developed a breakdown detector that comprises combinations of classifiers for different causes of errors based on the taxonomy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
References
Bickmore, T.W., Picard, R.W.: Establishing and maintaining long-term human-computer relationships. ACM Trans. Comput.-Hum. Interact. 12(2), 293–327 (Jun 2005). http://doi.acm.org/10.1145/1067860.1067867
Higashinaka, R., Meguro, T., Imamura, K., Sugiyama, H., Makino, T., Matsuo, Y.: Evaluating coherence in open domain conversational systems. In: Proceedings of of Interspeech, pp. 130–134 (2014)
Higashinaka, R., Funakoshi, K., Araki, M., Tsukahara, H., Kobayashi, Y., Mizukami, M.: Towards taxonomy of errors in chat-oriented dialogue systems. In: Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue. pp. 87–95. Association for Computational Linguistics, Prague, Czech Republic (September 2015). http://aclweb.org/anthology/W15-4611
Higashinaka, R., Mizukami, M., Funakoshi, K., Araki, M., Tsukahara, H., Kobayashi, Y.: Fatal or not? finding errors that lead to dialogue breakdowns in chat-oriented dialogue systems. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. pp. 2243–2248. Association for Computational Linguistics, Lisbon, Portugal (September 2015). http://aclweb.org/anthology/D15-1268
Onishi, K., Yoshimura, T.: Casual conversation technology achieving natural dialog with computers. NTT DOCOMO Tech. J 15(4), 16–21 (2014)
Xiang, Y., Zhang, Y., Zhou, X., Wang, X., Qin, Y.: Problematic situation analysis and automatic recognition for chinese online conversational system. In: Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing. pp. 43–51. Association for Computational Linguistics, Wuhan, China (October 2014). http://www.aclweb.org/anthology/W14-6808
Acknowledgements
We thank all members of the dialogue task in “Project Next NLP” for data collection, annotation, and productive discussions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Horii, T., Mori, H., Araki, M. (2017). Breakdown Detector for Chat-Oriented Dialogue. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_9
Download citation
DOI: https://doi.org/10.1007/978-981-10-2585-3_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2584-6
Online ISBN: 978-981-10-2585-3
eBook Packages: EngineeringEngineering (R0)