no code implementations • 11 Sep 2023 • Ethan O. Nadler, Elise Darragh-Ford, Bhargav Srinivasa Desikan, Christian Conaway, Mark Chu, Tasker Hull, Douglas Guilbeault
Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks.
1 code implementation • ACL 2022 • Mark Chu, Bhargav Srinivasa Desikan, Ethan O. Nadler, D. Ruggiero Lo Sardo, Elise Darragh-Ford, Douglas Guilbeault
Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e. g., co-occurrence) correlates with meaning.
1 code implementation • COLING 2020 • Bhargav Srinivasa Desikan, Tasker Hull, Ethan O. Nadler, Douglas Guilbeault, Aabir Abubaker Kar, Mark Chu, Donald Ruggiero Lo Sardo
Popular approaches to natural language processing create word embeddings based on textual co-occurrence patterns, but often ignore embodied, sensory aspects of language.