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  1.  36
    Representing word meaning and order information in a composite holographic lexicon.Michael N. Jones & Douglas J. K. Mewhort - 2007 - Psychological Review 114 (1):1-37.
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  2.  16
    The Role of Negative Information in Distributional Semantic Learning.Brendan T. Johns, Douglas J. K. Mewhort & Michael N. Jones - 2019 - Cognitive Science 43 (5):e12730.
    Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to as (...)
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  3.  26
    Refining the law of practice.Nathan J. Evans, Scott D. Brown, Douglas J. K. Mewhort & Andrew Heathcote - 2018 - Psychological Review 125 (4):592-605.
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