Abstract
A knowledge-based dialog system gives correct answers; however, it is unsuitable for open-ended input. On the other hand, Eliza makes open-ended conversations, but it gives no new information to its user. We propose a new type of dialog system. Our system lies between the above two dialog systems, and it converses about various topics and gives information related to the user’s utterances. This type of dialog is useful for generating new ideas especially when the user has an obscure desire to get information about his or her interest, but no concrete goal. Our system selects an appropriate sentence from a corpus to respond to a user’s utterance. The most proper response will have surface cohesion and semantic coherence with the user’s utterance. We made a trial system to converse about movies.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zue, V., Seneff, S., Polifroni, J., Phillips, M., Pao, C., Goddeau, D., Glass, J., Brill, E.: Pegasus: A spoken language interface for on-line air travel planning. Speech Communication 15, 331–340 (1994)
Zue, V., Seneff, S., Glass, J., Polifroni, J., Pao, C., Hanzen, T., Hetherington, L.: Jupiter: A telephone-based conversational interface for weather information. IEEE Trans. SAP 8, 100–112 (2000)
Weizenbaum, J.: Eliza – a computer program for the study of natural language communication between man and machine. ACM 9, 36–45 (1966)
Walker, M., Iida, M., Cote, S.: Japanese discourse and the process of centering. Computational Linguistics 20, 193–233 (1994)
Fujii, A., Inui, K., Tokunaga, T., Tanaka, H.: Case contribution in example-based verb sense disambiguation. Journal of Natural Language Processing 4, 111–123 (1997)
Kawahara, D., Kurohashi, S.: Improving japanese zero pronoun resolution by global word sense disambiguation. In: Proc. of the 20th COLING, pp. 343–349 (2004)
Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proc. of the 40th ACL, pp. 417–424 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shibata, M., Tomiura, Y., Matsumoto, H., Nishiguchi, T., Yukino, K., Hino, A. (2006). Developing a Dialog System for New Idea Generation Support. In: Matsumoto, Y., Sproat, R.W., Wong, KF., Zhang, M. (eds) Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead. ICCPOL 2006. Lecture Notes in Computer Science(), vol 4285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11940098_52
Download citation
DOI: https://doi.org/10.1007/11940098_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49667-0
Online ISBN: 978-3-540-49668-7
eBook Packages: Computer ScienceComputer Science (R0)