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Using a high-dimensional memory model to evaluate the properties of abstract and concrete words
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Representing proper names and objects in a common semantic space: A computational model
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Representing abstract words and emotional connotation in high-dimensional memory space
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Hillsdale, NJ, Erlbaum 61-66
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Modelling parsing constraints with high-dimensional context space
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Burgess C., Lund K. Modelling parsing constraints with high-dimensional context space. Language and Cognitive Process. 12:1997;177-210.
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Modeling cerebral asymmetries of semantic memory using high-dimensional semantic space
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M. Beeman, & C. Chiarello. Hillsdale: Erlbaum
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Burgess C., Lund K. Modeling cerebral asymmetries of semantic memory using high-dimensional semantic space. Beeman M., Chiarello C. Right hemisphere language comprehension: Perspectives from cognitive neuroscience. 1998;215-244 Erlbaum, Hillsdale.
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Examining issues in developmental pycholinguistics with a high-dimensional memory model
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Burgess C., Lund K., Kromsky A. Examining issues in developmental pycholinguistics with a high-dimensional memory model. Psychonomics Society Abstracts. 2:1997;66.
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Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning
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Glenberg A. M., Robertson D. A. Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning. Journal of Memory and Language. 43:2000;379-401.
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Metaphor comprehension: A computational theory
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A solution to Plato's Problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge
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The acquisition of word meaning through global lexical co-occurrences
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in press, Stanford, CA, Center for the Study of Language and Information
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Li, P, Burgess, C, &, Lund, K. in press, The acquisition of word meaning through global lexical co-occurrences. In, Proceedings of the Thirty-First Annual Child Language Research Forum, Stanford, CA, Center for the Study of Language and Information.
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Dissociating semantic and associative word relationships using high-dimensional semantic space
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An initial computational analysis of figurative language: The role of density in idiomatic and metaphoric expressions
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Learning from text: Matching readers and texts by Latent Semantic Analysis
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Wolfe M., Schreiner M. E., Rehder B., Laham D., Foltz P. W., Kintsch W., Landauer T. K. Learning from text: Matching readers and texts by Latent Semantic Analysis. Discourse Processes. 25:1998;309-336.
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