Lindsey, R., Stipicevic, M., Veksler, V. D., & Gray, W. D. (2008). BLOSSOM: Best path length on a semantic self-organizing map. In V. Sloutsky, B. Love & K. McRae (Eds.), 30th Annual Meeting of the Cognitive Science Society (pp. 481-486). Austin, TX: Cognitive Science Society.
BLOSSOM: Best path length on a semantic self-organizing map
We describe Vector Generation from Explicitly-defined Multidimensional semantic Space (VGEM), a method for converting a measure of semantic relatedness (MSR) into vector form. We also describe Best path Length on a Semantic Self-Organizing Map (BLOSSOM), a semantic relatedness technique employing VGEM and a connectionist, nonlinear dimensionality reduction technique. The psychological validity of BLOSSOM is evaluated using test cases from a large free-association norms dataset; we find that BLOSSOM consistently shows improvement over VGEM. BLOSSOM matches the performance of its base-MSR using a 21 dimensional vector-space and shows promise to outperform its base-MSR with a more rigorous exploration of the parameter space. In addition, BLOSSOM provides benefits such as document relatedness, concept-path formation, intuitive visualizations, and unsupervised text clustering.Download Paper
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