8 citations · 25 across the 28 of their papers we have counts for
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cs.CL2022★ 3 cited
Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules
Priyanka Sukumaran, Conor Houghton, Nina Kazanina
LSTMs trained on next-word prediction can accurately perform linguistic tasks that require tracking long-distance syntactic dependencies. Notably, model accuracy approaches human p…
q-bio.QM2022★ 2 cited
Bayesian Modeling of Language-Evoked Event-Related Potentials
Davide Turco, Conor Houghton
Bayesian hierarchical models are well-suited to analyzing the often noisy data from electroencephalography experiments in cognitive neuroscience: these models provide an intuitive…