Veronica Boyce

34 posts

Veronica Boyce

Veronica Boyce

@veroboyce

Grad student at Stanford Psychology, studying language.

Stanford, CA Katılım Nisan 2019
171 Takip Edilen189 Takipçiler
Veronica Boyce retweetledi
Michael C. Frank
Michael C. Frank@mcxfrank·
Come join us in our mission to create bigger datasets to understand human development! We're hiring two software developers to join our team and build data repositories. Remote work possible. Please RT! careersearch.stanford.edu/jobs/software-…
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Michael Dougherty
Michael Dougherty@doughertyorama·
@veroboyce Very nice paper. Which file on the osf page defines the variable names in the datafiles (e.g. for_model.csv, etc)? I can't seem to locate it, but I assume I'm just not looking in the right place.
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Veronica Boyce
Veronica Boyce@veroboyce·
New preprint with @mcxfrank and Maya Mathur: Eleven years of student replication projects provide evidence on the correlates of replicability in psychology (psyarxiv.com/dpyn6/) reporting 176 replications from students in a grad methods class @StanfordPsych. (1/5)
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Michael C. Frank
Michael C. Frank@mcxfrank·
So excited to see all of these student projects together at last! This work realizes an idea that @rebecca_saxe introduced me to years ago: that students are the real drivers of cumulative science. original idea: doi.org/10.1177/174569… new preprint: psyarxiv.com/dpyn6/
Veronica Boyce@veroboyce

New preprint with @mcxfrank and Maya Mathur: Eleven years of student replication projects provide evidence on the correlates of replicability in psychology (psyarxiv.com/dpyn6/) reporting 176 replications from students in a grad methods class @StanfordPsych. (1/5)

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Veronica Boyce
Veronica Boyce@veroboyce·
Our coded data, code, pre-reg, and a number of student reports are at osf.io/xwn9m/. We're extremely grateful to all the students who did the replications -- this data would not exist without their efforts! (5/5)
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Veronica Boyce
Veronica Boyce@veroboyce·
but many also correlate with each other! When all the predictors are in the same model (with shrinkage prior), larger original effect size and within-participants designs are the strongest predictors of replication success. (4/5)
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Isabel Papadimitriou
Isabel Papadimitriou@isabelpapad·
Check out our new paper with @jurafsky! What inductive learning biases influence language learning, and how? We pretrain transformer models on different structures and fine-tune on English to test the learning effects of different inductive biases arxiv.org/abs/2304.13060
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Veronica Boyce retweetledi
Roger Levy
Roger Levy@roger_p_levy·
Let me tell you why I'm so excited about this new paper by the amazing @veroboyce in @glossapsycholx, ""A-maze of natural stories: comprehension and surprisal in the Maze task". 1/9 escholarship.org/uc/item/6vh9d8…
Veronica Boyce@veroboyce

I'm thrilled to have this paper with @roger_p_levy out in @glossapsycholx ! I hope our methods work on Maze gives more researchers an easy option for collecting incremental reading time data on a range of materials!

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Jack Dempsey
Jack Dempsey@jkdempc·
@tmalsburg E.g., for "While Anna dressed the baby played in the crib." it's problematic to have some items be like 'played' vs. 'cry' and some items be like 'played' vs. 'red' - those would be different effect sizes at least, right?
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Veronica Boyce
Veronica Boyce@veroboyce·
Working on adding rticles support for glossa psycholinguistics -- @glossapsycholx is there a latex template or latex class file for your journal?
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Veronica Boyce retweetledi
Mikhail Kissine
Mikhail Kissine@KissineMikhail·
Key assumption in experimental pragmatics & semantics: people who judge a sentence like ´Some dogs are mammals’ false do so because they derive the ´Some, but not all’ implicature. In this new paper we show that this assumption is in fact unwarranted 1/3 authors.elsevier.com/a/1gve22Hx2tWo…
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Nicholas Coles, PhD
Nicholas Coles, PhD@coles_nicholas_·
Demand characteristics are a textbook concern in research w/ humans Yet, they’re not actually well understood In this new pre-print, @mcxfrank and I used meta-analysis and replication to take stock. What we found was informative...but also concerning psyarxiv.com/uw85a 🧵
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Veronica Boyce
Veronica Boyce@veroboyce·
If you use Maze and have technical questions or issues, don't hesitate to email me -- I want this to be a viable tool.
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Veronica Boyce retweetledi
Roger Levy
Roger Levy@roger_p_levy·
This paper is one culmination of three-plus years' work investigating the syntactic capabilities of today's autoregressive language models, with carefully controlled experiments like we would use in a psycholinguistics experiment with human subjects. The results blow me away. 1/5
Ethan Gotlieb Wilcox@weGotlieb

What syntactic generalizations can be learned from predicting the next word by domain-general learning algorithms? A paper summarizing the case of filler--gap dependencies (+ theoretical implications!) with @roger_p_levy and @rljfutrell ling.auf.net/lingbuzz/006327

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