Natural Language Processing; Getting Structured Data from Unstructured Sources


Fri Jul 18, 2014


Emily Silgard
Fred Hutchinson Cancer Research Center


Natural Language Processing




This will be a general introduction to Natural Language Processing; some discussion of the whats and whys, and common tasks in the field.  We’ll get into some of its uses within the biomedical domain, some specific projects at the Seattle Cancer Care Consortium and some toy examples and high level description of methods for getting discrete data from unstructured sources.



Emily Silgard studied Linguistics at the University of Massachusetts and turned that into something that was actually useful by getting an M.S. in Computational Linguistics from the University of Washington.  She’s the Natural Language Processing Research Engineer at Fred Hutchinson Cancer Research Center, which is the research arm of The Fred Hutchinson/University of Washington Cancer Care Consortium, an NCI-designated Comprehensive Cancer Center comprising Fred Hutchinson Cancer Research Center, the University of Washington, Seattle Children’s, and the Seattle Cancer Care Alliance.  All of that basically means she uses very small font on her business cards.


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