3 papers
cs.CL2023
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg +1
Accounts of human language processing have long appealed to implicit ``situation models'' that enrich comprehension with relevant but unstated world knowledge. Here, we apply causa…
cs.CL2022
Probing BERT's priors with serial reproduction chains
Takateru Yamakoshi, Thomas L. Griffiths, Robert D. Hawkins
Sampling is a promising bottom-up method for exposing what generative models have learned about language, but it remains unclear how to generate representative samples from popular…
cs.CL2020
Investigating representations of verb bias in neural language models
Robert D. Hawkins, Takateru Yamakoshi, Thomas L. Griffiths +1
Languages typically provide more than one grammatical construction to express certain types of messages. A speaker's choice of construction is known to depend on multiple factors,…