Title: An extraction technique of place-related words based on an association mechanism

Authors: Seiji Tsuchiya, Eriko Yoshimura, Hirokazu Watabe, Tsukasa Kawaoka, Ren Fuji

Addresses: Department of Intelligent Information Engineering and Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan. ' Department of Intelligent Information Engineering and Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan. ' Department of Intelligent Information Engineering and Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan. ' Department of Intelligent Information Engineering and Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan. ' Institute of Technology and Science, The University of Tokushima, Minami Josanjima, Tokushima, 770-8506, Japan

Abstract: We are conducting research on the development of an intelligent robot that can converse naturally with people. Humans manipulate smooth communications by retrieving, understanding and judging several common sense concepts from conversations consciously or unconsciously. In this paper, we focus on the expression of the place from such common sense concepts. We propose a technique which is able to associate the person and thing existing in the place and the event done on the place from the word expressing the place based on an association mechanism. F-measure of the place subject and place object was 88.0% and 84.3% respectively. The average F-measure of both was 86.2%. Moreover, result of proposed technique was 37.7% better than result of a traditional technique which used case frame dictionary. These results show that proposed technique was effective and the place judgement system has achieved a judgement similar to human|s sense.

Keywords: place related words; common sense; concept base; degree of association; intelligent robots; natural language; natural conversation; human-robot communication; place expressions; word associations; human-robot interaction; human-machine interaction.

DOI: 10.1504/IJKESDP.2010.030463

International Journal of Knowledge Engineering and Soft Data Paradigms, 2010 Vol.2 No.1, pp.4 - 14

Available online: 17 Dec 2009 *

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