Abstract
A method of measuring semantic similarity between words using a knowledge-base constructed automatically from machine-readable dictionaries is proposed. The method takes into consideration the fact that similarity changes depending on situation or context, which we call ‘viewpoint’. Evaluation shows the proposed method, although based on a simply structured knowledge-base, is superior to other currently available methods.
This is a preview of subscription content, log in via an institution to check access.
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
Tversky, A. (1977). Features of Similarity. Psychological Review,84,327–352.
Suzuki, H., Ohnishi, H., & Shigemasu, K. (1992). Goal-directed processes in similarity judgements. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (pp. 327–352).
Babaguchi, N., Sawada, Y., & Ohkawa, T. (1994). Association mechanism based on viewpoints. Transactions of Information Processing Society of Japan, 35(5), pp.714–724.
Guha, R. V., & Lenat, D. B. (1990) Cyc: A Midterm Report. AI Magazine, 11(3), 32–59.
Japan Electronic Dictionary Research Institute, Ltd. (1993). EDR Electronic Dictionary Technical Guide, TR-042.
Ide, N., & Veronis, J. (1993). Extracting Knowledge Base from Machine-readable Dictionaries: Have we wasted our time? Proceedings of the First International Conference on Building and Sharing of Very Large-Scale Knowledge Bases (pp. 257–266).
Ide, N., & Veronis, J. (1993). Combining Dictionary-Based and Example-Based Methods for Natural Language Analysis. Proceedings of the Fifth International Conference on Theoretical and Methodological Issues in Machine Translation (pp. 69–78).
Nakamura, J., & Nagao, M. (1988). Extraction of Semantic Information from an Ordinary English Dictionary and its Evaluation. Proceedings of the 13th International Conference on Computational Lingusitics (pp. 459–464).
Ikehara, S., Ikehara, M., & Yokoo, A. (1993). Classification of language knowledge for meaning analysis in machine translations. Transactions of Information Processing Society of Japan, 34(8) 1692–1704.
Shinmura, I.(Ed.) (1991). Koujien, Iwanami Shoten.
Matsumura, A. (Ed.) (1992). Daijirin, Sanseido Co., Ltd.
Hamanishi, M., & Ono, S. (1990). Ruigo Kokugo Jiten, Kadokawa Shoten.
Kenbou, H. (Ed.) (1992). Sanseidou Genndai Kokugo Jiten, Sanseido Co., Ltd.
Takebe, T. (Ed.) (1977) Hikkei Ruigo Jitsuyou Jiten, Sanseido Co., Ltd.
Sanseido (Ed.) (1977) Hikkei Yougo Youji Jiten, Sanseido Co., Ltd.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Kasahara, K., Matsuzawa, K., Ishikawa, T., Kawaoka, T. (1996). Viewpoint-Based Measurement of Semantic Similarity between Words. In: Fisher, D., Lenz, HJ. (eds) Learning from Data. Lecture Notes in Statistics, vol 112. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2404-4_41
Download citation
DOI: https://doi.org/10.1007/978-1-4612-2404-4_41
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94736-5
Online ISBN: 978-1-4612-2404-4
eBook Packages: Springer Book Archive