Klinton Bicknell

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Roger LevyProfessor of Brain & Cognitive Sciences, MITEmail verificata su mit.edu
Keith RaynerAtkinson Professor, University of California, San DiegoEmail verificata su ucsd.edu
Timothy SlatteryFitchburg High School Math TeacherEmail verificata su fitchburg.k12.ma.us
Elizabeth SchotterUniversity of South FloridaEmail verificata su usf.edu
Adam GoodkindUniversity of Maryland - Language Science CenterEmail verificata su umd.edu
Ken McRaeProfessor of Psychology, University of Western OntarioEmail verificata su uwo.ca
Jeffrey L. ElmanDistinguished Professor of Cognitive Science, University of California, San DiegoEmail verificata su ucsd.edu
Marta KutasDistinguished Professor of Cognitive Science, UCSDEmail verificata su ucsd.edu
Bernhard AngelePrincipal Academic in Psychology, Bournemouth UniversityEmail verificata su bournemouth.ac.uk
Burr SettlesFawm LabsEmail verificata su fawm.org
Xingshan LiInstitute of Psychology, Chinese Academy of SciencesEmail verificata su psych.ac.cn
Michael K TanenhausEmeritus Beverly Petterson Bishop and Charles W. Bishop Professor of Brain and Cognitive SciencesEmail verificata su ur.rochester.edu
Ian P HowardCentre for Vision Research, York University, Toronto, Ontario, M3J 1P3Email verificata su cvr.yorku.ca
Claire Brustex-DuolingoEmail verificata su duolingo.com
Will MonroeResearch Scientist, DuolingoEmail verificata su cs.stanford.edu
Thomas A. FarmerLecturer, Department of Psychology, California State University, FullertonEmail verificata su fullerton.edu
Stephen MayhewDuolingoEmail verificata su seas.upenn.edu
Bozena PajakVP of Learning & Curriculum, DuolingoEmail verificata su duolingo.com
Molly LoshProfessor, Communication Sciences and Disorders, Linguistics, and Psychiatry, NorthwesternEmail verificata su northwestern.edu
Vera DembergSaarland University, Computer Science, Saarland Informatics CampusEmail verificata su coli.uni-saarland.de

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Klinton Bicknell

Head of AI at Duolingo

Email verificata su duolingo.com - Home page

machine learning computational linguistics psycholinguistics eye movements reading


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Eye movement evidence that readers maintain and act on uncertainty about past linguistic input R Levy, K Bicknell, T Slattery, K Rayner Proceedings of the national academy of sciences 106 (50), 21086-21090, 2009	332	2009
Predictive power of word surprisal for reading times is a linear function of language model quality A Goodkind, K Bicknell Proceedings of the 8th workshop on cognitive modeling and computational …, 2018	241	2018
Effects of event knowledge in processing verbal arguments K Bicknell, JL Elman, M Hare, K McRae, M Kutas Journal of memory and language 63 (4), 489-505, 2010	191	2010
Reading is fundamentally similar across disparate writing systems: a systematic characterization of how words and characters influence eye movements in Chinese reading. X Li, K Bicknell, P Liu, W Wei, K Rayner Journal of Experimental Psychology: General 143 (2), 895, 2014	151	2014
A rational model of eye movement control in reading K Bicknell, R Levy Proceedings of the 48th annual meeting of the Association for Computational …, 2010	121	2010
Task effects reveal cognitive flexibility responding to frequency and predictability: Evidence from eye movements in reading and proofreading ER Schotter, K Bicknell, I Howard, R Levy, K Rayner Cognition 131 (1), 1-27, 2014	120	2014
Do successor effects in reading reflect lexical parafoveal processing? Evidence from corpus-based and experimental eye movement data B Angele, ER Schotter, TJ Slattery, TL Tenenbaum, K Bicknell, K Rayner Journal of Memory and Language 79, 76-96, 2015	50	2015
Why readers regress to previous words: A statistical analysis K Bicknell, R Levy Proceedings of the annual meeting of the Cognitive Science Society 33 (33), 2011	46	2011
Listeners can maintain and rationally update uncertainty about prior words K Bicknell, MK Tanenhaus, TF Jaeger Manuscript submitted for publication.[KB], 2015	43	2015
Simultaneous translation and paraphrase for language education S Mayhew, K Bicknell, C Brust, B McDowell, W Monroe, B Settles Proceedings of the fourth workshop on neural generation and translation, 232-243, 2020	33	2020
Detecting language impairments in autism: A computational analysis of semi-structured conversations with vector semantics A Goodkind, M Lee, GE Martin, M Losh, K Bicknell Proceedings of the Society for Computation in Linguistics (SCiL) 2018, 12-22, 2018	23	2018
Word predictability and frequency effects in a rational model of reading K Bicknell, R Levy Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012	23	2012
A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs K Bicknell, R Levy Proceedings of human language technologies: The 2009 annual conference of …, 2009	23	2009
Using LSTMs to assess the obligatoriness of phonological distinctive features for phonotactic learning N Mirea, K Bicknell Proceedings of the 57th annual meeting of the association for computational …, 2019	19	2019
Form-to-expectation matching effects on first-pass eye movement measures during reading. TA Farmer, S Yan, K Bicknell, MK Tanenhaus Journal of Experimental Psychology: Human Perception and Performance 41 (4), 958, 2015	19	2015
On the processing of canonical word order during eye fixations in reading: Do readers process transposed word previews? K Rayner, B Angele, ER Schotter, K Bicknell Visual Cognition 21 (3), 353-381, 2013	19	2013
Correcting the incorrect: Local coherence effects modeled with prior belief update K Bicknell, R Levy, V Demberg Annual Meeting of the Berkeley Linguistics Society, 13-24, 2009	19	2009
Online expectations for verbal arguments conditional on event knowledge K Bicknell, JL Elman, M Hare, K McRae, M Kutas Proceedings of the 30th annual conference of the cognitive science society …, 2008	19	2008
A model of generalization in distributional learning of phonetic categories B Pajak, K Bicknell, R Levy Proceedings of the fourth annual workshop on cognitive modeling and …, 2013	17	2013
How Duolingo's AI Learns what you Need to Learn: The language-learning app tries to emulate a great human tutor K Bicknell, C Brust, B Settles IEEE Spectrum 60 (3), 28-33, 2023	16	2023

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