Quantifying visual concreteness of words and topics in multimodal datasets by Lillian Lee, David Mimno, Jack Hessel
Quantifying visual concreteness of words and topics in multimodal datasets

Lillian Lee, David Mimno, Jack Hessel

Quantifying visual concreteness of words and topics in multimodal datasets

Lillian Lee, David Mimno, Jack Hessel

12 pages first pub 2018 (editions) not a book user-added

nonfiction computer science psychology science

Description

Multimodal machine learning algorithms aim to learn visual-textual correspondences. Previous work suggests that concepts with concrete visual manifestations may be easier to learn than concepts with abstract ones. We give an algorithm for automati...

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