Papers by Taylor Rayne

1 papers
IsoScore: Measuring the Uniformity of Embedding Space Utilization (2022.findings-acl)

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Challenge: Several studies suggest that contextualized word embedding models do not isotropically project tokens into vector space.
Approach: They propose to use a tool to measure isotropy to quantify the degree to which a point cloud uniformly utilizes the ambient vector space.
Outcome: The proposed tool is the only available tool that accurately measures how uniformly distributed variance is across dimensions in vector space.

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