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References

  • Arts, A. (2004). Overspecification in instructive texts. PhD dissertation, Tilburg University. Nijmegen, the Netherlands: Wolf Publishers.
  • Arts, A., Maes, A., Noordman, L., & Jansen, C. (2011). Overspecification facilitates object identification. Journal of Pragmatics, 43(1), 361374.
  • Belke, E., & Meyer, A. (2002). Tracking the time course of multidimensional stimulus discrimination: Analysis of viewing patterns and processing times during “same” “different” decisions. European Journal of Cognitive Psychology, 14, 237266.
  • Dale, R. (1989). Cooking up referring expressions. In Proceedings of the 27th annual meeting of the association for computational linguistics (pp. 6875). Vancouver, BC, Canada: University of British Columbia.
  • Dale, R. (1992). Generating referring expressions: Building descriptions in a domain of objects and presses. Cambridge, MA: MIT Press.
  • Dale, R., & Reiter, E. (1995). Computational interpretations of the Gricean maxims in the generation of referring expressions. Cognitive Science, 18, 233263.
  • Dale, R., & Viethen, J. (2009). Referring Expression Generation through attribute-based heuristics. In Proceedings of the 12th European workshop on Natural Language Generation (ENLG) (pp. 5865). Athens, Greece.
  • Dale, R., & Viethen, J. (2010). Attribute-centric Referring Expression Generation. In E. Krahmer & M. Theune (Eds.), Empirical methods in Natural Language Generation, lecture notes in computer science (Vol. 5980, pp. 163179). Berlin and Heidelberg: Springer.
  • Engelhardt, P. E., Bailey, K. G. D., & Ferreira, F. (2006). Do speakers and listeners observe the Gricean Maxim of Quantity? Journal of Memory and Language, 54, 554573.
  • Engelhardt, P. E., Demiral, S. B., & Ferreira, F. (2011). Over-specified referring expressions impair comprehension: An ERP study. Brain and Cognition, 77, 204314.
  • Ferreira, F., & Tanenhaus, M. K. (2007). Introduction to the special issue on language-vision interactions. Journal of Memory and Language, 57, 455459.
  • Friedman, A. (1979). Framing pictures: The role of knowledge in automized encoding and memory for gist. Journal for Experimental Psychology: General, 108, 316355.
  • Gatt, A., & Belz, A. (2010). Introducing shared task evaluation to NLG: The TUNA shared task evaluation challenges. In E. Krahmer & M. Theune (Eds.), Empirical methods in Natural Language Generation (pp. 264293). Berlin and Heidelberg: Springer (LNCS 5790).
  • Gatt, A., Van der Sluis, I., & Van Deemter, K. (2007). Evaluating algorithms for the generation of referring expressions using a balanced corpus. In Proceedings of the European workshop on Natural Language Generation (ENLG) (pp. 4956). Saarbruecken, Germany.
  • Gauthier, I., & Tarr, M. (1997). Becoming a Greeble expert: Exploring mechanisms for face recognition. Vision Research, 37, 16731682.
  • Grice, H. P. (1975). Logic and conversation. In P. Cole & J. L. Morgan (Eds.), Speech acts (pp. 4358). New York: Academic Press.
  • Griffin, Z., & Bock, K. (2000). What the eyes say about speaking. Psychological Science, 11, 274279.
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  • Hanna, J., & Brennan, S. (2007). Speaker's eye gaze disambiguates referring expressions early during face-to-face conversation. Journal of Memory and Language, 57(4), 596615.
  • Itti, L., & Koch, C. (2001). Computational modeling of visual attention. Nature Reviews Neuroscience, 2, 194203.
  • Koolen, R., Gatt, A., Goudbeek, M., & Krahmer, E. (2011). Factors causing overspecification in definite descriptions. Journal of Pragmatics, 43(13), 32313250.
  • Krahmer, E., & Van Deemter, K. (2012). Computational generation of referring expressions: A survey. Computational Linguistics, 38(1), 173218.
  • Kremer, G., & Baroni, M. (2010). Predicting cognitively salient modifiers of the constitutive parts of concepts. Proceedings of the Cognitive Modeling and Computational Linguistics workshop at ACL 2010, 5462.
  • Mellish, C., Scott, D., Cahill, L., Evans, R., Paiva, D., & Reape, M. (2006). A reference architecture for Natural Language Generation systems. Natural Language Engineering, 12(1), 134.
  • Meyer, A., Sleiderink, A., & Levelt, W. (1998). Viewing and naming objects: Eye-movements during noun-phrase production. Cognition, 66, B25B33.
  • Oliva, A. (2005). Gist of the scene. In L. Itti, G. Rees, & J. K. Tsotsos (Eds.), Neurobiology of attention (pp. 251256). San Diego, CA: Elsevier.
  • Oliva, A., Torralba, A., Castelhano, M., & Henderson, J. (2003). Top-down control of visual attention in object detention. Proceedings of the IEEE International Conference Image Processing, 1, 253256.
  • Olson, D.R. (1970). Language and thought: Aspects of a cognitive theory on semantics. Psychological Review, 77, 257273.
  • Pechmann, T. (1989). Incremental speech production and referential overspecification. Linguistics, 27, 89110.
  • Potter, M. (1976). Short-term conceptual memory for pictures. Journal of Experimental Psychology: Human Learning and Memory, 2, 509522.
  • Reiter, E., & Dale, R. (2000). Building Natural Language Generation systems. Cambridge, UK: Cambridge University Press.
  • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 11241131.
  • Van Deemter, K., Gatt, A., Van der Sluis, I., & Power, R. (2012). Generation of referring expressions: Assessing the Incremental Algorithm. Cognitive Science, 36, 799836. doi:10.1111/j.1551-6709.2011.01205.x
  • Van Deemter, K., Gatt, A., Van Gompel, R., & Krahmer, E. (2012). Toward a computational psycholinguistics of reference production. Topics in Cognitive Science, 4(2), 166183.
  • Viethen, J., & Dale, R. (2009). Referring Expression Generation: What can we learn from human data? In Proceedings of the 2009 workshop on the production of referring expressions: Bridging the gap between computational and empirical approaches to reference. Amsterdam, The Netherlands.