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.
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Broda, B., Piasecki, M., Szpakowicz, S. (2009). Rank-Based Transformation in Measuring Semantic Relatedness. In: Gao, Y., Japkowicz, N. (eds) Advances in Artificial Intelligence. Canadian AI 2009. Lecture Notes in Computer Science(), vol 5549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01818-3_20
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DOI: https://doi.org/10.1007/978-3-642-01818-3_20
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