Word Similarity In WordNet

Tran Hong-Minh and Dan Smith ()
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Tran Hong-Minh: University Of East Anglia, School of Computing Sciences
Dan Smith: University Of East Anglia, School of Computing Sciences

A chapter in Modeling, Simulation and Optimization of Complex Processes, 2008, pp 293-302 from Springer

Abstract: 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.

Keywords: Semantic Similarity; Word Similarity; Human Rating; Distance Approach; Information Theoretic Approach (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-79409-7_19

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DOI: 10.1007/978-3-540-79409-7_19

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