Generating natural language responses appropriate to conversational situations - in the case of Japanese -
The goal of this work is to make human-machine interaction in natural language smooth and efficient. To realize this, the machine has to generate natural language sentences which are understood by users most easily. And it is important for this understandability that each sentence is appropriate to the conversational situation at the time of its utterance. In this paper, we will shed light on this appropriateness and consider how we can formalize the method to generate such appropriate sentences. First, we will define such appropriateness; second we will discuss some surface features of Japanese sentences and consider how people decide to add such features to their sentences depending on situational factors. Then we will show brief methods of deciding how to add suitable surface features to sentences in suitable situations. Finally, we will show an implementation of a conversational system which adopts these methods.
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- [Allen 1983]J. Allen: Recognizing intentions from natural language utterances, in M. Brady and R.C. Berwick Eds., Computational Models of Discourse, MIT Press, 1983, pp.107–166.Google Scholar
- [Barwise 1987]J. Barwise: Notes on a model of a theory of situations, sets, types and propositions, informal manuscript, 1987.Google Scholar
- [Grice 1975]H. P. Grice: Logic and Conversation, in P. Cole and J.L. Morgan Eds., Syntax and Semantics: Vol.3, Speech Acts, Academic Press, 1975, pp.41–58.Google Scholar
- [Kaplan 1983]J. Kaplan: Cooperative responses from a portable natural language database query system, in M. Brady and R.C. Berwick Eds., Computational Models of Discourse, MIT Press, 1983, pp.167–208.Google Scholar
- [Searl 1969]J. R. Searl: Speech Acts: an Essay in the Philosophy of Language, Cambridge Univ. Press, 1969.Google Scholar
- [Yasukawa 1987]H. Yasukawa and H. Suzuki: Knowledge Representation Language based on Situation Theory, France-Japan Artificial Intelligence and Computer Science Symposium '87(to be appeared).Google Scholar