Abstract
Today, many communication robots have been developed. Nevertheless, smooth communication with humans is difficult for robots. We specifically examine communication between robots based on dialogue. Here, we create a dialogue-based scenario for the robots. Our proposed scenario includes not only daily dialogue but also dialogue with humor to make the news familiar for people. Our proposed dialogue-based scenario is called a Manzai scenario. We have already proposed a means of generating Manzai scenarios automatically. Our proposed Manzai scenario consists of Introduction part, Body part, and Conclusion part. Introduction part consists of some components, one of the components is rival word extraction. There are some problem in our earlier proposed Manzai scenario creation system. Then, in this paper, we modify rival word extraction using Word2Vec. Furthermore, we modify the Introduction part based on an entity mistake. We conducted an experiment to measure the benefits of our proposed method. The experiment results underscore its benefits.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Pepper http://www.softbank.jp/robot/.
- 2.
- 3.
- 4.
Word2Vec https://code.google.com/p/wprd2vec/.
References
Bouchet, F., Sansonnet, J.: Persuading users through counseling dialogue with a conversational agent, persuasive 2009. In: Proceedings of the 4th International Conference on Persuasive Technology, p. 18 (2009)
Bouchet, F., Sansonnet, J.: Subjectivity and cognitive biases modeling for a realistic and efficient assisting conversational agent. In: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 209–216 (2009)
Chklovski, T., Pantel, P.: Verbocean: mining the web for fine-grained semantic verb relations. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 33–40 (2004)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the Fourteenth International Conference on Computational Linguistics, pp. 539–545 (1992)
Ishizaki, M., Computation, Y.D.: Language: retrieving comparison articles using content elements order for news archives. Discourse Dialogue 3, 173–175 (2001)
Hayashi, K., Kanda, T., Miyashita, T., Hagita, N.: Robot manzai - robots conversation as a passive social medium. In: 5th IEEE-RAS International Conference on Humanoid Robots, 2005, pp. 456–462 (2005)
Ohshima, H., Tanaka, K.: Real time extraction of related terms by bi-directional lexico-syntactic patterns from the web. In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (ICUIMC 2009), pp. 441–449 (2009)
Ishii, R., Nakano, Y.I., Nishida, T.: Gaze awareness in conversational agents: estimating a user’s conversational engagement from eye gaze. Trans. Interact. Intell. Syst. 3(2), 125 (2013)
Mashimo, R., Umetani, T., Kitamura, T., Nadamoto, A.: Automatic generation of japanese traditional funny scenario from web content based on web intelligence. In: Proceedings of the 17th International Conference on Information Integration Web-based Applications and Services, pp. 165–173 (2015)
Mashimo, R., Umetani, T., Kitamura, T., Nadamoto, A.: Human-robots implicit communication based on dialogue between robots using automatic generation of funny scenarios from web. In: Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interaction, pp. 327–334 (2015)
Wang, W., Thomas, C., Sheth, A., Chan, V.: Pattern-based synonym and antonym extraction. In: 48th ACM Southeast Conference (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Aoki, S., Umetani, T., Kitamura, T., Nadamoto, A. (2018). Generating Manzai-Scenario Using Entity Mistake. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_92
Download citation
DOI: https://doi.org/10.1007/978-3-319-65521-5_92
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65520-8
Online ISBN: 978-3-319-65521-5
eBook Packages: EngineeringEngineering (R0)