Matthew Green

Dr Matthew Green

  • mgreen at bournemouth dot ac dot uk
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I studied Cognitive Science at the University of Exeter in the Psychology and Computing Science departments, followed by a Masters in Psychological Research Methods, and a PhD in Psycholinguistics. I then took up a series of posts at the University of Aberdeen: Research Fellowship in Computing Science [Natural Language Generation]; Teaching Fellowship in Psychology; Research Fellowship in Computing Science [Scrutable Autonomous Systems]. I am currently working in Psychology at Bournemouth University.


The Computational Linguistics community provides well-specified and fully-implemented models of parser load during sentence processing (e.g., surprisal; entropy reduction). These models await further testing by the Psycholinguistics community using human readers (e.g., by evaluating model parser load predictions against human sentence processing difficulty measured using eye-tracking). My current research aims to carry out some of this testing.

Journal Articles

  • Jager, B., Green, M.J. and Cleland, A.A., 2016. Polysemy in the mental lexicon: relatedness and frequency affect representational overlap. Language, Cognition and Neuroscience, 31 (3), 425-429.
  • Mitchell, D.C., Shen, X., Green, M.J. and Hodgson, T.L., 2008. Accounting for regressive eye-movements in models of sentence processing: A reappraisal of the Selective Reanalysis hypothesis. Journal of Memory and Language, 59 (3), 266-293.
  • Green, M.J. and Mitchell, D.C., 2006. Absence of real evidence against competition during syntactic ambiguity resolution. Journal of Memory and Language, 55 (1), 1-17.


  • Tintarev, N., Green, M.J., Masthoff, J. and Hermens, F., 2015. Benefits and risks of emphasis adaptation in study workflows. In: 5th International Workshop on Personalization Approaches in Learning Environments (PALE), held in conjunction with the 23rd International Conference on User Modeling, Adaptation, and Personalization (UMAP 2015) 30 June 2015 Dublin, Ireland.
  • Green, M.J., 2014. An eye-tracking evaluation of some parser complexity metrics. In: 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations 26-30 April 2014 Gothenburg, Sweden. 38-46.
  • Tintarev, N., Kutlak, R., Oren, N., Van Deemter, K., Green, M., Masthoff, J. and Vasconcelos, W., 2013. SAsSy - Scrutable autonomous systems. 1-3.
  • Caminada, M., Podlaszewski, M. and Green, M., 2013. Explaining the outcome of knowledge-based systems; a discussion-based approach. 21-24.
  • Green, M.J. and van Deemter, K., 2013. The utility of vagueness: does it lie elsewhere? In: PRE-CogSci 2013 -- Production of Referring Expressions: Bridging the gap between cognitive and computational approaches to reference. 35th Annual meeting of the Cognitive Science Society (CogSci 2013) 31 July-3 August 2013 Berlin, Germany.
  • van Deemter, K. and Green, M.J., 2013. Why be Vague? In: Dealing Reasonably with Blurred Boundaries 25-27 April 2013 Schloss Herrenhausen, Hannover.
  • Siddharthan, A., Green, M.J., Van Deemter, K., Mellish, C. and Van Der Wal, R., 2012. Blogging birds: Generating narratives about reintroduced species to promote public engagement. Association for Computational Linguistics. 120-124.
  • Green, M.J. and van Deemter, K., 2012. Vagueness in referring expressions of quantity: effects on the audience.
  • Green, M.J. and van Deemter, K., 2011. Vagueness as cost reduction: An empirical test. In: PRE-CogSci 2011 -- Production of Referring Expressions: Bridging the gap between computational, empirical and theoretical approaches to reference. 33rd Annual meeting of the Cognitive Science Society (CogSci 2011) 20-23 July 2011 Boston, Massachusetts.
  • Mitchell, D.C., Shen, X. and Green, M.J., 2007. Does selective reanalysis really play a role in sentence processing? : implications for computational models of eye-movement behaviour. In: 13th Annual Conference on Architectures and Mechanisms of Language Processing 24-27 August 2007 Turku, Finland.


  • Green, M.J., 2014. On Repairing Sentences: An Experimental and Computational Analysis of Recovery from Unexpected Syntactic Disambiguation in Sentence Parsing. PhD Thesis. University of Exeter, Psychology.
The data on this page was last updated at 02:52 on March 27, 2017.