Date: December 20, 2005 Time: (All day)
Event Type: Lecture
It is increasingly challenging for researchers, health professionals, and consumers to effectively exploit the extensive
textual resources provided by NLM, including Medline and ClinicalTrials.gov. High throughput natural language processing
applications are required to supplement Library information retrieval services such as PubMed. The Semantic Knowledge
Representation project develops programs that extract semantic relationships from biomedical text by building on
existing NLM resources, particularly the UMLS. These relationships then serve as input to programs for automatic
summarization and visualization of biomedical information.