Work

Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports.

Year: 2021

Type: article

Abstract: 0.61 vs. 0.27-0.44). Among models trained on RRC, fastText models often outperformed other NCWE models and spherical embeddings provided overly optimistic representations of term pair similarity.

Source: PubMed Central

Authors: Mirza S Khan, Bennett A Landman, Stephen A Deppen, Michael E Matheny

Institutions: United States Department of Veterans Affairs, Vanderbilt University, Vanderbilt University Medical Center

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Eunice Kennedy Shriver National Institute of Child Health and Human Development

Award: Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at Vanderbilt

OpenAlex ID: W4287497346

FWCI:

Cites: 14

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Related to: 10