Abstract
This paper proposes a dynamically-changed knowledge system. Each belief in the system has a component reflecting the strength of support from other people. The system is capable of adapting to a contextual situation by means of the continuous revision of belief strengths through interaction with others. As a paradigmatic application of the proposed socially-supported belief system, a parser was designed and implemented in CLOS. The parser outputs (a) speaker intention, (b) conveyed meaning, and (c) hearer’s emotion.
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Matsumoto, N., Tokosum, A. (2004). Intention Retrieval with a Socially-Supported Belief System. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_8
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DOI: https://doi.org/10.1007/978-3-540-24630-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21006-1
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