no code implementations • 20 Jul 2021 • James A. Michaelov, Megan D. Bardolph, Seana Coulson, Benjamin K. Bergen
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 language comprehension than language models with other architectures, such as recurrent neural networks.
