1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2022★ 1 cited
Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models
Mark Chu, Bhargav Srinivasa Desikan, Ethan O. Nadler +3
Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e.g., co-occurrence) correlates with meaning.…
cs.CL2020
comp-syn: Perceptually Grounded Word Embeddings with Color
Bhargav Srinivasa Desikan, Tasker Hull, Ethan O. Nadler +4
Popular approaches to natural language processing create word embeddings based on textual co-occurrence patterns, but often ignore embodied, sensory aspects of language. Here, we i…