Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping |
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Authors: | Andrew E Smith Michael S Humphreys |
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Institution: | (1) ARC Key Centre for Human Factors and Applied Cognitive Psychology, University of Queensland, 4072 Brisbane, Queensland, Australia |
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Abstract: | The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language
into semantic patterns in an unsupervised manner. It employs two stages of co-occurrence information extraction—semantic andrelational—using a different algorithm for each stage. The algorithms used are statistical, but they employ nonlinear dynamics and machine
learning. This article is an attempt to validate the output of Leximancer, using a set of evaluation criteria taken from content
analysis that are appropriate for knowledge discovery tasks. |
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Keywords: | |
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