Using experiential optimization to build lexical representations |
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Authors: | Johns Brendan T. Jones Michael N. Mewhort D. J. K. |
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Affiliation: | 1.Department of Communicative Disorders and Sciences, University at Buffalo, 122 Cary Hall, Buffalo, NY, 14214, USA ;2.Indiana University, Bloomington, IN, USA ;3.Queen’s University, Kingston, Canada ; |
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Abstract: | To account for natural variability in cognitive processing, it is standard practice to optimize a model’s parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model’s fit to representative data. We fit language-based behavioral data using experiential optimization, a method that optimizes the materials that a model is given while retaining the learning and processing mechanisms of standard practice. Rather than using default materials, experiential optimization selects the optimal linguistic sources to create a memory representation that maximizes task performance. We demonstrate performance on multiple benchmark tasks by optimizing the experience on which a model’s representation is based. |
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