22 citations · 28 across the 8 of their papers we have counts for
4 papers · 1 filter
Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
Shreya Saha, Shurui Li, Greta Tuckute +5
The human language system represents both linguistic forms and meanings, but the abstractness of the meaning representations remains debated. Here, we searched for abstract represe…
Divergences between Language Models and Human Brains
Yuchen Zhou, Emmy Liu, Graham Neubig +2
Do machines and humans process language in similar ways? Recent research has hinted at the affirmative, showing that human neural activity can be effectively predicted using the in…
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva, Otilia Stretcu, Barnabas Poczos +2
How meaning is represented in the brain is still one of the big open questions in neuroscience. Does a word (e.g., bird) always have the same representation, or does the task under…
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva, Leila Wehbe
Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another. This h…