Leveraging shortest dependency paths in low-resource biomedical relation extraction.

Journal: BMC medical informatics and decision making
Published Date: Jul 24, 2024

Abstract

BACKGROUND: Biomedical Relation Extraction (RE) is essential for uncovering complex relationships between biomedical entities within text. However, training RE classifiers is challenging in low-resource biomedical applications with few labeled examples.

Authors

  • Saman Enayati
    Department of Computer and Information Science, Temple University, P.O. Box: 19122, Philadelphia, USA.
  • Slobodan Vucetic

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