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  1. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.Thomas K. Landauer & Susan T. Dumais - 1997 - Psychological Review 104 (2):211-240.
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  • Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces.Eva M. Vecchi, Marco Marelli, Roberto Zamparelli & Marco Baroni - 2017 - Cognitive Science 41 (1):102-136.
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  • Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation.Brian Riordan & Michael N. Jones - 2011 - Topics in Cognitive Science 3 (2):303-345.
    Abstract Since their inception, distributional models of semantics have been criticized as inadequate cognitive theories of human semantic learning and representation. A principal challenge is that the representations derived by distributional models are purely symbolic and are not grounded in perception and action; this challenge has led many to favor feature-based models of semantic representation. We argue that the amount of perceptual and other semantic information that can be learned from purely distributional statistics has been underappreciated. We compare the representations (...)
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  • Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces.Eva M. Vecchi, Marco Marelli, Roberto Zamparelli & Marco Baroni - 2016 - Cognitive Science 40 (7):102-136.
    Sophisticated senator and legislative onion. Whether or not you have ever heard of these things, we all have some intuition that one of them makes much less sense than the other. In this paper, we introduce a large dataset of human judgments about novel adjective-noun phrases. We use these data to test an approach to semantic deviance based on phrase representations derived with compositional distributional semantic methods, that is, methods that derive word meanings from contextual information, and approximate phrase meanings (...)
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  • Thinking in Words: Language as an Embodied Medium of Thought.Guy Dove - 2014 - Topics in Cognitive Science 6 (3):371-389.
    Recently, there has been a great deal of interest in the idea that natural language enhances and extends our cognitive capabilities. Supporters of embodied cognition have been particularly interested in the way in which language may provide a solution to the problem of abstract concepts. Toward this end, some have emphasized the way in which language may act as form of cognitive scaffolding and others have emphasized the potential importance of language-based distributional information. This essay defends a version of the (...)
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  • On the Importance of a Rich Embodiment in the Grounding of Concepts: Perspectives From Embodied Cognitive Science and Computational Linguistics.Serge Thill, Sebastian Padó & Tom Ziemke - 2014 - Topics in Cognitive Science 6 (3):545-558.
    The recent trend in cognitive robotics experiments on language learning, symbol grounding, and related issues necessarily entails a reduction of sensorimotor aspects from those provided by a human body to those that can be realized in machines, limiting robotic models of symbol grounding in this respect. Here, we argue that there is a need for modeling work in this domain to explicitly take into account the richer human embodiment even for concrete concepts that prima facie relate merely to simple actions, (...)
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  • Language Encodes Geographical Information.Max M. Louwerse & Rolf A. Zwaan - 2009 - Cognitive Science 33 (1):51-73.
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  • Finding Structure in Time.Jeffrey L. Elman - 1990 - Cognitive Science 14 (2):179-211.
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  • Editors' Introduction: Abstract Concepts: Structure, Processing, and Modeling.Marianna Bolognesi & Gerard Steen - 2018 - Topics in Cognitive Science 10 (3):490-500.
  • A Taste of Words: Linguistic Context and Perceptual Simulation Predict the Modality of Words.Max Louwerse & Louise Connell - 2011 - Cognitive Science 35 (2):381-398.
    Previous studies have shown that object properties are processed faster when they follow properties from the same perceptual modality than properties from different modalities. These findings suggest that language activates sensorimotor processes, which, according to those studies, can only be explained by a modal account of cognition. The current paper shows how a statistical linguistic approach of word co-occurrences can also reliably predict the category of perceptual modality a word belongs to (auditory, olfactory–gustatory, visual–haptic), even though the statistical linguistic approach (...)
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  • The Emotions of Abstract Words: A Distributional Semantic Analysis.Alessandro Lenci, Gianluca E. Lebani & Lucia C. Passaro - 2018 - Topics in Cognitive Science 10 (3):550-572.
  • Structured Semantic Knowledge Can Emerge Automatically From Predicting Word Sequences in Child-Directed Speech.Philip A. Huebner & Jon A. Willits - 2018 - Frontiers in Psychology 9.
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  • Integrating Experiential and Distributional Data to Learn Semantic Representations.Mark Andrews, Gabriella Vigliocco & David Vinson - 2009 - Psychological Review 116 (3):463-498.
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  • Affixation in Semantic Space: Modeling Morpheme Meanings with Compositional Distributional Semantics.Marco Marelli & Marco Baroni - 2015 - Psychological Review 122 (3):485-515.
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  • 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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  • The Representation of Abstract Words: Why Emotion Matters.Stavroula-Thaleia Kousta, Gabriella Vigliocco, David P. Vinson, Mark Andrews & Elena Del Campo - 2011 - Journal of Experimental Psychology: General 140 (1):14-34.
  • Topics in Semantic Representation.Thomas L. Griffiths, Mark Steyvers & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):211-244.
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