Abstract
Human beings make associations based on their general knowledge, with intellectual thought activity forming the basis of natural conversation. When human beings converse, they first absorb what the other party is saying, then use their analogical and associative abilities to continue the conversation based on naturally acquired general knowledge. Such general knowledge-based conversation is difficult to simulate using the language data and methods that have been acquired thus far. Therefore, it is necessary to provide machines with the intellectual structure they require to understand the semantic connections between words, determine how these words relate to one another, and render sensible judgments. In this paper, we propose a method for constructing a system aimed at determining what tools are necessary in a particular situation based on the intellectual structure of sensible judgment. For example, this system would examine data input like “cut the cabbage” as it appears in a conversational sentence, and associate it with relevant tools such as “kitchen knife” and “cutting board”. In this manner, rather than by simply parsing the phrase as linguistic data, the system allows for responsive dialogue that is relevant to the situation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
[Sony] Sony, http://www.sony.jp/products/Consumer/aibo/ (accessed 2011-02-01)
[Honda] Honda, http://www.honda.co.jp/ASIMO/ (accessed 2011-02-01)
Weizenbaum, J.: ELIZA - A Computer Program For the Study of Natural Language Communication Between Man and Machine. Communications of the Association For Computing Machinery 9(1), 36–45 (1965)
Richard, R.S., Wallace, S.: Alicebot, http://alicebot.blogspot.com/ (accesssed 2011-02-01)
Carpenter, R.: Jabberwacky – live chat bot –AL artificial intelligence chatbot – jabber wacky – talking robot – chatbots – chatterbot – chatterbots – javverwocky – take a Turning Test Loebner Prize – Chatterbox C, http://www.jabberwacky.com/ (accessed 2011-02-01)
Sekine, S., Inui, K., Torisawa, K.: Corpus Based Knowledge Engineering, http://nlp.cs.nyu.edu/sekine/CBKE/ (accessed 2011-02-01)
Kurohashi, S., Nagao, M.: A method of case structure analysis for Japanese sentences based on examples in case frame dictionary. IEICE Transactions on Information and Systems E77-D(2), 227–239 (1994)
Yoshimura, E., Watabe, H., Kawaoka, T.: An Automatic Enhancing Method of Greeting Sentences Using Association Knowledge Mechanism. Journal of Natural Language Processing 13(1), 117–141 (2006)
Watabe, H., Kawaoka, T.: The Degree of Association between Concepts using the Chain of Concepts. In: Proc. of SM 2001, pp. 877–881 (2001)
Okumura, N., Yoshimura, E., Watabe, H., Kawaoka, T.: An Association Method Using Concept-Base. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 604–611. Springer, Heidelberg (2007)
NTT Communication Science Laboratory, NTT Thesaurus, NIHONGOGOITAIKEI (Iwanami Shoten book, 1997)
Kawahara, D., Kurohashi, S.: Case Frame Compilation from the Web using High-Performance Computing. In: Proceedings of the 5th International Conference on Language Resources and Evaluation, pp. 1344–1347 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yoshimura, E., Imono, M., Tsuchiya, S., Watabe, H. (2011). Necessary Tools Choice in a Particular Situation for Computer Conversation. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23851-2_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-23851-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23850-5
Online ISBN: 978-3-642-23851-2
eBook Packages: Computer ScienceComputer Science (R0)