NLM IRP Seminar Schedule
UPCOMING SEMINARS
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April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
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
RECENT SEMINARS
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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 -
March 28, 2024 Joseph Schafer
Evolutionary selection of proteins with two folds
Scheduled Seminars on Dec. 6, 2022
Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions about this seminar.
Abstract:
Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the automatic simplification of existing biomedical text for consumers. Though Deep Learning methods have unsurprisingly become dominant over rule-based systems in the open domain for simplification, the biomedical domain has special considerations that have impeded the progress of neural systems. I will discuss these challenges and how researchers have addressed them thus far, including the continued development of rule-based and hybrid systems. I will also discuss progress our group has made so far and our plans for addressing the current inadequacies of biomedical text simplification systems moving forward.