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20192025
most citedHuman-Like Geometric Abstraction in Large Pre-trained Neural Networks

3 citations · 6 across the 4 of their papers we have counts for

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cs.CL2025

AI-enhanced semantic feature norms for 786 concepts

Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza +4

Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade-offs between concept/feature coverage and verifiability…

cs.CL2019

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…