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Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies.

, , , , and . J. Biomed. Semant., 15 (1): 6 (December 2024)

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PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions., , , , , , and . ICLR, OpenReview.net, (2022)Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies., , , , and . J. Biomed. Semant., 15 (1): 6 (December 2024)A substring replacement approach for identifying missing IS-A relations in SNOMED CT., , , and . BIBM, page 2611-2618. IEEE, (2022)Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS., , , and . AIME (1), volume 14844 of Lecture Notes in Computer Science, page 273-278. Springer, (2024)A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT., , and . AMIA, AMIA, (2020)A New Similarity Measure of Generalized Fuzzy Numbers Based on Geometric-mean Averaging Operator.. FUZZ-IEEE, page 1879-1886. IEEE, (2006)A New Method to Measure the Similarity Between Fuzzy Numbers., and . FUZZ-IEEE, page 1123-1126. IEEE, (2001)A New Method For Handling Multicriteria Fuzzy Decision-Making Problems Using FN-Iowa Operators., and . Cybern. Syst., 34 (2): 109-137 (2003)A new information fusion algorithm for handling heterogeneous group decision-making problems., and . FUZZ-IEEE, page 390-395. IEEE, (2002)A Prioritized Information Fusion Algorithm for Handling Multi-Criteria Fuzzy Decision-making Problems., and . FSKD, page 413-417. (2002)