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NLM DIR Seminar Schedule
UPCOMING SEMINARS
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Nov. 13, 2025 Leslie Ronish
TBD -
Nov. 18, 2025 Ryan Bell
TBD -
Nov. 24, 2025 Mario Flores
AI Pipeline for Characterization of the Tumor Microenvironment -
Nov. 25, 2025 Jing Wang
TBD -
Dec. 2, 2025 Qingqing Zhu
TBD
RECENT SEMINARS
Scheduled Seminars on Aug. 16, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
UMLS Metathesaurus is a biomedical terminology integration system that integrates biomedical vocabularies by grouping synonymous terms into concepts. The construction and maintenance process of the UMLS Metathesaurus mainly relies on (1) the lexical and semantic processing for suggesting the groupings of synonymous terms and (2) the expertise of the UMLS editors for curating these synonymy suggestions. With the enormous knowledge accumulated over 30 years of manual curation, the existing Metathesaurus provides ample material for deep learning approaches, which have gained promising results especially in the field of natural language processing in recent years. A UMLS learning framework has been developed to explore and study various aspects of applying deep learning techniques to the vocabulary alignment task in the UMLS Metathesaurus.