Papers

  • Andrews, M. Frank, S. & Vigliocco, G. (In Press) Reconciling Embodied and Distributional Accounts of Meaning in Language. Topics in Cognitive Science [pdf]
  • Andrews, M. (In Press) Probabilistic Language Modeling with Hidden Stochastic Automata. Proceedings of the 35th Annual Meeting of the Cognitive Science Society. [pdf]
  • Vigliocco, G., Kousta, S., Vinson, D.P., Andrews, M., Del Campo, E. (2013). The Representation of Abstract Words: What Matters? Reply to Paivio's (2013) Comment on Kousta et al. (2011). Journal of Experimental Psychology: General. Vol. 142(1), pp. 288-291. [pdf]
  • Andrews, M., Baguley, T. (2013). Prior approval: The growth of Bayesian methods in psychology. British Journal of Mathematical & Statistical Psychology Vol. 66(1), pp. 1-7. [pdf]
  • Vinson, D., Andrews, M., Vigliocco, G. (2013). Giving words meaning: Why better models of semantics are needed in language production research. In V. Ferreira, M. Goldrick & M. Miozzo (Eds.), Oxford Handbook of Language Production.
  • Vigliocco, G. & Andrews, M. (2012). The Limitations of the Distributional Hypothesis: Augmenting Distributional Statistics with Experiential Data. In Pier Marco Bertinetto, Valentina Bambini, Irene Ricci (eds.) Language and the Brain -- Semantics. Rome, Italy: Bulzoni.
  • Andrews, M. (2011). A review of Doing Bayesian Data Analysis: A Tutorial Using R and BUGS by J. Kruschke. British Journal of Mathematical & Statistical Psychology Vol. 64(3), pp. 538-540. [pdf]
  • Kousta, S., Vigliocco, G., Vinson, D. P, Andrews, M. & Del Campo, E. (2011). The Representation of Abstract Words: Why Emotion Matters. Journal of Experimental Psychology-General, Vol. 140(1). pp. 14-34. [pdf]
  • Andrews, M. & Vigliocco, G. (2010) The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. Topics in Cognitive Science, Vol. 2, pp. 101-113. [pdf]
  • Andrews, M. & Vigliocco, G. (2009) Learning Semantic Representations with Hidden Markov Topic Models. Proceedings of the 31st Annual Meeting of the Cognitive Science Society.[pdf] (This paper was awarded the annual prize for computational modeling of language at the Cognitive Science Conference.)
  • Vigliocco, G., Meteyard, L., Andrews, M. & Kousta S. (2009) Toward a Theory of Semantic Representation. Language and Cognition, Vol. 1(2).
  • Andrews, M., Vigliocco, G. & Vinson, D. (2009). Integrating Experiential and Distributional Data to Learn Semantic Representations. Psychological Review, Vol. 116(3), pp 463-498. [pdf]
  • Andrews, M. & Vinson, D. & Vigliocco, G. (2008). Inferring a Probabilistic Model of Semantic Memory from Word Association Norms. Proceedings of the 30th Annual Conference of the Cognitive Science Society. [pdf]
  • Andrews, M. & Vigliocco, G. & Vinson, D. (2007). Evaluating the Contribution of Intra-linguistic and Extra-linguistic Data to the Structure of Human Semantic Represenations. Proceedings of the 29th Annual Conference of the Cognitive Science Society . [pdf]
  • Andrews, M. & Vigliocco, G. & Vinson, D. (2005). Integrating Attributional and Distributional Information in a Probabilistic Model of Meaning Representation. In Timo Honkela, Ville Könönen, Matti Pöllä, and Olli Simula, editors, Adaptive Knowledge Representation and Reasoning. Pages 15-25. [pdf]
  • Andrews, M. & Vigliocco, G. & Vinson, D. (2005). The Role of Attributional and Distributional Information in Semantic Representation. Proceedings of the Twenty Seventh Annual Conference of the Cognitive Science Society. [pdf]
  • Andrews, M. & Salzberg, C. (2004) Sexual and Asexual Paradigms in Evolution: The Implications for Genetic Algorithms? Proceedings of the Genetics and Evolutionary Computation Conference (Gecco-04) . [pdf]
  • Andrews, M. (2003) Language Learning and Nonlinear Dynamical Systems., Ph.D Dissertation, Cornell University. [pdf]
  • Andrews, M. (2001) Processing and Recognition of Symbol Sequences, in K. S. Johanna D. Moore, ed., Proceedings of the Twenty Third Annual Conference of the Cognitive Science Society, pp. 61-65. [pdf]