Towards Developing Dialogue Systems with Entertaining Conversations

Hai-Long Trieu, Hiroyuki Iida, Nhien Pham Hoang Bao, Le-Minh Nguyen

Abstract

This paper explores a novel approach to developing a dialogue system that is able to make entertaining conversations with users. It proposes a method to improve the current goal-driven dialogue systems which support users for specific tasks while satisfying users’ goals with entertaining conversations. It then develops a dialogue system in which a set of features are considered to generate entertaining conversations, while reasonably prolonging the original too short dialogue. The game refinement measure is employed for the assessment of attractiveness since the conversations in dialogue systems can be seen as the process by which a player creates shoots or moves to win a game. The dialogues generated by the proposed method are evaluated by human subjects. The results confirm the effectiveness of the proposed method. The present idea can be a promising way to realize dialogue systems with entertaining conversations although further investigations are needed.

References

  1. Ameixa, D., Coheur, L., Fialho, P., and Quaresma, P. (2014). Luke, i am your father: dealing with out-ofdomain requests by using movies subtitles. In International Conference on Intelligent Virtual Agents, pages 13-21. Springer.
  2. Banchs, R. E. and Li, H. (2012). Iris: a chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, pages 37-42. Association for Computational Linguistics.
  3. Busemann, S., Declerck, T., Diagne, A. K., Dini, L., Klein, J., and Schmeier, S. (1997). Natural language dialogue service for appointment scheduling agents. In Proceedings of the fifth conference on Applied natural language processing, pages 25-32. Association for Computational Linguistics.
  4. Griol, D., Callejas, Z., and López-Cózar, R. (2010). Statistical dialog management methodologies for real applications. In Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 269-272. Association for Computational Linguistics.
  5. Henderson, M., Thomson, B., and Young, S. (2014). Wordbased dialog state tracking with recurrent neural networks. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 292-299.
  6. Iida, H., Takahara, K., Nagashima, J., Kajihara, Y., and Hashimoto, T. (2004). An application of gamerefinement theory to mah jong. In Entertainment Computing-ICEC 2004 , pages 333-338. Springer.
  7. Ogura, K., Masuda, T., and Ishizaki, M. (2003). Building a new internet chat system for sharing timing information. In Proc. of the 4th SIGDIAL, pages 97-104.
  8. Pieraccini, R., Suendermann, D., Dayanidhi, K., and Liscombe, J. (2009). Are we there yet? research in commercial spoken dialog systems. In International Conference on Text, Speech and Dialogue, pages 3-13. Springer.
  9. Pietquin, O. and Hastie, H. (2013). A survey on metrics for the evaluation of user simulations. The knowledge engineering review, 28(01):59-73.
  10. Ritter, A., Cherry, C., and Dolan, W. B. (2011). Datadriven response generation in social media. In Proceedings of the conference on empirical methods in natural language processing, pages 583-593. Association for Computational Linguistics.
  11. Seneff, S. and Polifroni, J. (2000). Dialogue management in the mercury flight reservation system. In Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems-Volume 3, pages 11-16. Association for Computational Linguistics.
  12. Shang, L., Lu, Z., and Li, H. (2015). Neural responding machine for short-text conversation. In Association for Computational Linguistics, pages 196-205.
  13. Shawar, B. A. and Atwell, E. (2007). Chatbots: are they really useful? LDV Forum, 22(1):29-49.
  14. Sordoni, A., Galley, M., Auli, M., Brockett, C., Ji, Y., Mitchell, M., Nie, J.-Y., Gao, J., and Dolan, B. (2015). A neural network approach to context-sensitive generation of conversational responses. In Conference of the North American Chapter of the Association for Computational Linguistics, pages 196-205.
  15. Stallard, D. (2000). Talk'n'travel: a conversational system for air travel planning. In Proceedings of the sixth conference on Applied natural language processing, pages 68-75. Association for Computational Linguistics.
  16. Sutiono, A. P., Ramadan, R., Jarukasetporn, P., Takeuchi, J., Purwarianti, A., and Iida, H. (2015). A mathematical model of game refinement and its applications to sports games. EAI Endorsed Trans. Creative Technologies, 2(5):1-7.
  17. Wallis, P. (2010). A robot in the kitchen. In Proceedings of the 2010 workshop on companionable dialogue systems, pages 25-30. Association for Computational Linguistics.
  18. Weizenbaum, J. (1966). Elizaa computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1):36-45.
  19. Wen, T.-H., Gasic, M., Mrks?ic, N., Su, P.-H., Vandyke, D., and Young, S. (2015). Semantically conditioned lstmbased natural language generation for spoken dialogue systems. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1711-1721, Lisbon, Portugal. Association for Computational Linguistics.
  20. Young, S., Gasic, M., Thomson, B., and Williams, J. D. (2013). Pomdp-based statistical spoken dialog systems: A review. In IEEE, volume 101, pages 1160- 1179.
Download


Paper Citation


in Harvard Style

Trieu H., Iida H., Pham Hoang Bao N. and Nguyen L. (2017). Towards Developing Dialogue Systems with Entertaining Conversations . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 511-518. DOI: 10.5220/0006192105110518


in Bibtex Style

@conference{icaart17,
author={Hai-Long Trieu and Hiroyuki Iida and Nhien Pham Hoang Bao and Le-Minh Nguyen},
title={Towards Developing Dialogue Systems with Entertaining Conversations},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={511-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006192105110518},
isbn={978-989-758-220-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Towards Developing Dialogue Systems with Entertaining Conversations
SN - 978-989-758-220-2
AU - Trieu H.
AU - Iida H.
AU - Pham Hoang Bao N.
AU - Nguyen L.
PY - 2017
SP - 511
EP - 518
DO - 10.5220/0006192105110518