NLM DIR Seminar Schedule
UPCOMING SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 15, 2025 Noam Rotenberg
Cell phenotypes in the biomedical literature: a systematic analysis and the NLM CellLink text mining corpus
RECENT SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 1, 2025 Yoshitaka Inoue
Graph-Aware Interpretable Drug Response Prediction and LLM-Driven Multi-Agent Drug-Target Interaction Prediction -
June 10, 2025 Aleksandra Foerster
Interactions at pre-bonding distances and bond formation for open p-shell atoms: a step toward biomolecular interaction modeling using electrostatics -
June 3, 2025 MG Hirsch
Interactions among subclones and immunity controls melanoma progression -
May 29, 2025 Harutyun Sahakyan
In silico evolution of globular protein folds from random sequences
Scheduled Seminars on March 10, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Millions of people daily depend on searching PubMed literature. Providing a reliable, comprehensive, and effective search is crucial for the medical community. To power PubMed literature search countless processes are deployed on the background. In this talk I will highlight several NLP algorithms developed in-house that have been integrated into PubMed search environment. These methods make a difference in how PubMed search handles synonyms to provide more comprehensive results. They define how PubMed recognizes and processes single citation queries, those targeted at finding specific publications. The most recently developed techniques are targeted at monitoring the validity of relevance ranking results obtained through systematic updates of the Relevance Ranking algorithm. Throughout this work, we have contributed and continue to contribute to the research and development of PubMed literature search capabilities.