NLM IRP Seminar Schedule
UPCOMING SEMINARS
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April 30, 2024 Wenya Rowe
The conformal central charge of the spin-1/2 XX model derived from long-chain asymptotics -
May 2, 2024 OPEN
TBD -
May 7, 2024 OPEN
TBD -
May 9, 2024 Pascal Mutz
TBD -
May 14, 2024 Stanley Liang
TBD
RECENT SEMINARS
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April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
April 23, 2024 OPEN
TBD -
April 16, 2024 Jaya Srivastava
Regulatory plasticity of the human genome -
April 11, 2024 Sergey Shmakov
Comprehensive survey of the TnpB RNA-guided nucleases -
April 2, 2024 Yifan Yang
Fairness and Bias in Biomedical AI
Scheduled Seminars on Aug. 16, 2022
Contact NLM_IRP_Seminar_Scheduling@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.