3 papers
cs.CL2020
Modelling Compositionality and Structure Dependence in Natural Language
Karthikeya Ramesh Kaushik, Andrea E. Martin
Human beings possess the most sophisticated computational machinery in the known universe. We can understand language of rich descriptive power, and communicate in the same environ…
cs.CL2020
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?
Maryam Hashemzadeh, Greta Kaufeld, Martha White +2
The representations generated by many models of language (word embeddings, recurrent neural networks and transformers) correlate to brain activity recorded while people read. Howev…
cs.AI2018
Predicate learning in neural systems: Discovering latent generative structures
Andrea E. Martin, Leonidas A. A. Doumas
Humans learn complex latent structures from their environments (e.g., natural language, mathematics, music, social hierarchies). In cognitive science and cognitive neuroscience, mo…