Any suggestions on how to speed up processing large clinical text notes approaching 13K lines? This is a very old corpus culled from EPIC notes back in 2009. I thought about splitting the notes into smaller chunks, but then I would have to deal with the offsets when analyzing system output against manual annotations that had been done.
As is, I've tried different garbage collection options (this seemed to have worked well with CLAMP on the same set of notes). TIA! Greg-- -- Greg M. Silverman Senior Systems Developer NLP/IE <https://healthinformatics.umn.edu/research/nlpie-group> Department of Surgery University of Minnesota g...@umn.edu › evaluate-it.org ‹
