Abstract
Humans manipulate smooth communications by retrieving, understanding and judging the sensuous characteristics from conversations consciously or unconsciously. This paper presents sensuous association methods to judge noun association from combinations of nouns (or adjectives) and adjectives/adjectival equivalents expressing senses as a means of achieving sense judgment similar to the common-sense judgment made by humans. The propose method is based on a mechanism that makes it possible to associate various concepts from a given concept. The precision rate and recall rate for nouns associated from combinations of nouns (or adjectives) and adjectives/adjectival equivalents were approximately 96.3% and 63.6% in reference to human judgment.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Tsuchiya, S., Watabe, H., Kawaoka, T. (2006). A Sensuous Association Method Using an Association Mechanism for Natural Machine Conversation. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_120
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DOI: https://doi.org/10.1007/11892960_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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