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Geoff Hollis

Showing results (1-10 of 18) with videos related to

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Behavior Research Methods|May 28, 2017
Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgmentsGeoff Hollis
Memory & Cognition|July 15, 2017
Estimating the average need of semantic knowledge from distributional semantic modelsGeoff Hollis
Memory & Cognition|June 2, 2019
Learning about things that never happened: A critique and refinement of the Rescorla-Wagner update rule when many outcomes are possibleGeoff Hollis
Behavior Research Methods|July 11, 2019
The role of number of items per trial in best-worst scaling experimentsGeoff Hollis
Journal of Experimental Psychology. General|October 19, 2018
Wriggly, squiffy, lummox, and boobs: What makes some words funny?Chris Westbury, Geoff Hollis
Behavior Research Methods|January 12, 2018
When is best-worst best? A comparison of best-worst scaling, numeric estimation, and rating scales for collection of semantic normsGeoff Hollis, Chris Westbury
Behavior Research Methods|July 5, 2006
NUANCE: Naturalistic University of Alberta Nonlinear Correlation ExplorerGeoff Hollis, Chris Westbury
Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale|March 25, 2021
A pompous snack: On the unreasonable complexity of the world's third-worst jokesChris Westbury, Geoff Hollis
Behavior Research Methods|September 15, 2018
Conceptualizing syntactic categories as semantic categories: Unifying part-of-speech identification and semantics using co-occurrence vector averagingChris Westbury, Geoff Hollis
Psychonomic Bulletin & Review|May 4, 2016
The principals of meaning: Extracting semantic dimensions from co-occurrence models of semanticsGeoff Hollis, Chris Westbury
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Behavior Research Methods|May 28, 2017
Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgmentsGeoff Hollis
Memory & Cognition|July 15, 2017
Estimating the average need of semantic knowledge from distributional semantic modelsGeoff Hollis
Memory & Cognition|June 2, 2019
Learning about things that never happened: A critique and refinement of the Rescorla-Wagner update rule when many outcomes are possibleGeoff Hollis
Behavior Research Methods|July 11, 2019
The role of number of items per trial in best-worst scaling experimentsGeoff Hollis
Journal of Experimental Psychology. General|October 19, 2018
Wriggly, squiffy, lummox, and boobs: What makes some words funny?Chris Westbury, Geoff Hollis
Behavior Research Methods|January 12, 2018
When is best-worst best? A comparison of best-worst scaling, numeric estimation, and rating scales for collection of semantic normsGeoff Hollis, Chris Westbury
Behavior Research Methods|July 5, 2006
NUANCE: Naturalistic University of Alberta Nonlinear Correlation ExplorerGeoff Hollis, Chris Westbury
Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale|March 25, 2021
A pompous snack: On the unreasonable complexity of the world's third-worst jokesChris Westbury, Geoff Hollis
Behavior Research Methods|September 15, 2018
Conceptualizing syntactic categories as semantic categories: Unifying part-of-speech identification and semantics using co-occurrence vector averagingChris Westbury, Geoff Hollis
Psychonomic Bulletin & Review|May 4, 2016
The principals of meaning: Extracting semantic dimensions from co-occurrence models of semanticsGeoff Hollis, Chris Westbury
Pageof 2