Cover not available
Obituary published In:
The Mental Lexicon
Vol. 16:2/3 (2021) ► pp.199–203
Obituary

In memoriam

Geoff Hollis-Haynes (1983–2021)

Published online: 8 March 2022
DOI logo
https://doi.org/10.1075/ml.00020.mem
References
Anderson, J. R., & Milson, R.
(1989) Human memory: An adaptive perspective. Psychological Review, 96 (4), 703. DOI logoGoogle Scholar
Baayen, R. H.
(2010) Demythologizing the word frequency effect: A discriminative learning perspective. The Mental Lexicon, 5 (3), 436–461. DOI logoGoogle Scholar
Dennett, D. C.
(2006) The frame problem of AI. Philosophy of Psychology: Contemporary Readings, 433 1, 67–83.Google Scholar
Hollis, G.
(2009) Observed Interdependence of Cognition and Action: The Hand Says’ No’to ROWS (Doctoral dissertation, University of Cincinnati).
Hollis, G., Kloos, H., & Van Orden, G. C.
(2009) Origins of order in cognitive activity. In S. J. Guastello, M. Koopmans, & D. Pincus (Eds.), Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 206–241). Boston, MA: Cambridge University Press.Google Scholar
Hollis, G.
(2017) Estimating the average need of semantic knowledge from distributional semantic models. Memory & Cognition, 45 (8), 1350–1370. DOI logoGoogle Scholar
Hollis, G., & Westbury, C.
(2016) The principals of meaning: Extracting semantic dimensions from co-occurrence models of semantics. Psychonomic Bulletin & Review 23.6 (2016): 1744–1756. DOI logoGoogle Scholar
Hollis, G.
(2018) Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgments. Behavior Research Methods, 50 (2), 711–729. DOI logoGoogle Scholar
(2019) Learning about things that never happened: A critique and refinement of the Rescorla-Wagner update rule when many outcomes are possible. Memory & Cognition, 47 (7), 1415–1430. DOI logoGoogle Scholar
(2020a) The role of number of items per trial in best–worst scaling experiments. Behavior Research Methods, 52 (2), 694–722. DOI logoGoogle Scholar
(2020b) Delineating linguistic contexts, and the validity of context diversity as a measure of a word’s contextual variability. Journal of Memory and Language, 114 1, 104146. DOI logoGoogle Scholar
Hollis, G., & Westbury, C.
(2006) NUANCE: Naturalistic University of Alberta nonlinear correlation explorer. Behavior Research Methods, 38 (1), 8–23. DOI logoGoogle Scholar
(2018) When is best-worst best? A comparison of best-worst scaling, numeric estimation, and rating scales for collection of semantic norms. Behavior Research Methods, 50 (1), 115–133. DOI logoGoogle Scholar
Hollis, G., Westbury, C., & Lefsrud, L.
(2017) Extrapolating human judgments from skip-gram vector representations of word meaning. Quarterly Journal of Experimental Psychology, 70 (8), 1603–1619. DOI logoGoogle Scholar
Hollis, G., Westbury, C. F., & Peterson, J. B.
(2006) NUANCE 3.0: Using genetic programming to model variable relationships. Behavior Research Methods, 38 (2), 218–228. DOI logoGoogle Scholar
Mandera, P., Keuleers, E., & Brysbaert, M.
(2015) How useful are corpus-based methods for extrapolating psycholinguistic variables? The Quarterly Journal of Experimental Psychology, 68(8), 1623–1642. DOI logoGoogle Scholar
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H.
(1957) The Measurement of Meaning. Urbana, IL: University of Illinois Press.Google Scholar
Pylyshyn, Z. W.
(1987) The robot’s dilemma. Norwood, NJ: Ablex Publishing Corporation.Google Scholar
Rescorla, R. A., & Wagner, A. R.
(1972) A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. Classical Conditioning II: Current Research and Theory, 2 1, 64–99.Google Scholar
Sidhu, D. M., Westbury, C., Hollis, G., & Pexman, P. M.
(2021) Sound symbolism shapes the English language: The maluma/takete effect in English nouns. Psychonomic Bulletin & Review, 1–9. DOI logoGoogle Scholar
Snefjella, B., & Blank, I.
(2020) Computational Estimation of Lexical Semantic Norms: A New Framework. The 34th CUNY Conference on Human Sentence Processing.
Van Orden, G., Hollis, G., & Wallot, S.
(2012) The blue-collar brain. Frontiers in Physiology, 3 1, 207. DOI logoGoogle Scholar
Westbury, C., Hollis, G., Sidhu, D. M., & Pexman, P. M.
(2018) Weighing up the evidence for sound symbolism: Distributional properties predict cue strength. Journal of Memory and Language, 99 1, 122–150. DOI logoGoogle Scholar
Westbury, C., & Hollis, G.
(2007) Putting Humpty Together Again: Synthetic Approaches to Nonlinear Variable Effects Underlying Lexical Access (pp. 7–30). In: Jarema, G. & Libben, B. The Mental Lexicon: Core Perspectives. Bingley, UK: Emerald Group Publishing Ltd.Google Scholar
(2019a) Conceptualizing syntactic categories as semantic categories: Unifying part-of-speech identification and semantics using co-occurrence vector averaging. Behavior Research Methods, 51 (3), 1371–1398. DOI logoGoogle Scholar
(2019b) Wriggly, squiffy, lummox, and boobs: What makes some words funny?. Journal of Experimental Psychology: General, 148 (1), 97. DOI logoGoogle Scholar
(2021) A pompous snack: On the unreasonable complexity of the world’s third-worst jokes. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. DOI logoGoogle Scholar
Wheeler, M.
(2008) Cognition in context: phenomenology, situated robotics and the frame problem. International Journal of Philosophical Studies, 16 (3), 323–349. DOI logoGoogle Scholar