Rank-Based Transformation in Measuring Semantic Relatedness

Authors:
Bartosz Broda;Maciej Piasecki;Stan Szpakowicz
Affiliations:
Institute of Informatics, Wrocław University of Technology, Poland;Institute of Informatics, Wrocław University of Technology, Poland;School of Information Technology and Engineering, University of Ottawa, Canada and Institute of Computer Science, Polish Academy of Sciences, Poland
Venue:
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2009

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Abstract

Rank weight functions had been shown to increase the accuracy of measures of semantic relatedness for Polish. We present a generalised ranking principle and demonstrate its effect on a range of established measures of semantic relatedness, and on a different language. The results confirm that the generalised transformation method based on ranking brings an improvement over several well-known measures.