most citedContext Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2019★ 2 cited

Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora

Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis +2

Applying machine learning algorithms to large-scale, text-based corpora (embeddings) presents a unique opportunity to investigate at scale how human semantic knowledge is organized…