This paper is in the following e-collection/theme issue:

Applications of AI (248) Artificial Intelligence (2003) Natural Language Processing (871) Recruitment of Research Participants (365) New Methods (1103)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49546, first published .
Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

Authors of this article:

Shunit Agmon1 Author Orcid Image ;   Uriel Singer1 Author Orcid Image ;   Kira Radinsky1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. Tiba M, Saboohi H. 2025 11th International Conference on Web Research (ICWR). Gender Bias Mitigation of Persian Stereotypical Words Using FastText View