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

no code implementations • 15 Oct 2019 • Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage, Jonathan D. Cohen

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 and how people use it to judge fundamental relationships, such as similarity between concepts.

BIG-bench Machine Learning Empirical Judgments

Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions

no code implementations • 7 Jun 2016 • Marius Cătălin Iordan, Armand Joulin, Diane M. Beck, Li Fei-Fei

Our method outperforms the two most commonly used alternatives (anatomical landmark-based AFNI alignment and cortical convexity-based FreeSurfer alignment) in overlap between predicted region and functionally-defined LOC.