Abstract
This paper presents a new approach to measure the semantic similarity between concepts. By exploiting advantages of distance (edge-base) approach for taxonomic tree-like concepts, we enhance the strength of information theoretic (node-based) approach. Our measure therefore gives a complete view of word similarity, which cannot be achieved by solely applying node-based approach. Our experimental measure achieves 88% correlation with human rating.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
J. J. Jiang and D. W. Conrath. Semantic similarity based on corpus statistics and lexical taxonomy. In the International Conference on Research in Computational Linguistics, 1997.
Y. Li, Z. A. Bandar, and D. McLean. An approach for measuring semantic similarity between words using multiple information sources. In IEEE Transaction on Knowledge and Data Transaction, vol. 15, 871–882, 2003.
D. Lin. An information-theoretic definition of similarity. In ICML ’98: Proceedings of the Fifteenth International Conference on Machine Learning, 296–304, San Francisco, CA, USA, 1998. Morgan Kaufmann Publishers Inc.
G. Miller and W. Charles. Contextual correlates of semantic similarity. Language and Cognitive Processes, 6(1):1–28, 1991.
G. A. Miller. Nouns in wordnet: A lexical inheritance system. International journal of Lexicography, 3(4):245–264, 1990.
G. A. Miller, C. Fellbaum, R. Beckwith, D. Gross, and K. Miller. Introduction to wordnet: An online lexical database. International journal of Lexicography, 3(4):235–244, 1990.
P. Resnik. Using information content to evaluate semantic similarity in a taxonomy. In IJCAI, 448–453, 1995.
R. Richardson and A. F. Smeaton. Using WordNet in a knowledge-based approach to information retrieval. Technical Report CA-0395, Dublin, Ireland, 1995.
R. N. Shepard. Toward a universal law of generalization for psychological science. 237(4820):1317–1323, September 1987.
R. Roy, H. Mili, E. Bicknell, and M. Blettner. Development and application of a metric on semantic nets. In IEEE Transactions on Systems, Man and Cybernetics, volume 19, 17–30, 1989.
M. Sussna. Word sense disambiguation for free-text indexing using a massive semantic network. In CIKM ’93: Proceedings of the second international conference on Information and knowledge management, 67–74, New York, NY, USA, 1993. ACM Press.
W. Gale, K. Church, and D. Yarovsky. A method for disambiguating word senses in a large corpus. Common Methodologies in Humanities Computing and Computational Linguistics, 26:415–439, 1992.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hong-Minh, T., Smith, D. (2008). Word Similarity In WordNet. In: Bock, H.G., Kostina, E., Phu, H.X., Rannacher, R. (eds) Modeling, Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79409-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-79409-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79408-0
Online ISBN: 978-3-540-79409-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)