76 citations · 120 across the 14 of their papers we have counts for
4 papers · 1 filter
Word Acquisition in Neural Language Models
Tyler A. Chang, Benjamin K. Bergen
We investigate how neural language models acquire individual words during training, extracting learning curves and ages of acquisition for over 600 words on the MacArthur-Bates Com…
So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements
James A. Michaelov, Seana Coulson, Benjamin K. Bergen
More predictable words are easier to process - they are read faster and elicit smaller neural signals associated with processing difficulty, most notably, the N400 component of the…
Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude?
James A. Michaelov, Megan D. Bardolph, Seana Coulson +1
Despite being designed for performance rather than cognitive plausibility, transformer language models have been found to be better at predicting metrics used to assess human langu…
RAW-C: Relatedness of Ambiguous Words--in Context (A New Lexical Resource for English)
Sean Trott, Benjamin Bergen
Most words are ambiguous--i.e., they convey distinct meanings in different contexts--and even the meanings of unambiguous words are context-dependent. Both phenomena present a chal…