Hi Erin, I would expect the relation annotator to catch contains(for 4 years, sinusitis) but clearly it’s far from perfect.
I am surprised it catches contains(4 years ago, *city*) but this is mostly because *city* is marked as an event (not sure why). Dima > On May 11, 2017, at 12:00, Erin Gustafson <erin.gustaf...@northwestern.edu> > wrote: > > Hey Dima, > > Yes, that is one solution! Perhaps that's just the best way to go. > > I'm seeing right now that the annotator is missing some relations that I > would expect it to catch (unless I'm misunderstanding something, which is > possible). For example: > > He reports sinusitis and rhinitis for 4 years, which started when he moved to > *city* 4 years ago. > -> misses sinusitis for 4 years, rhinitis for 4 years > -> catches *city* 4 years ago > > Would you expect those sort of expressions to be captured by the temporal > module? > > Thanks, > Erin > > > -----Original Message----- > From: Dligach, Dmitriy [mailto:ddlig...@luc.edu] > Sent: Thursday, May 11, 2017 11:50 AM > To: dev@ctakes.apache.org > Subject: Re: Temporal module dictionary > > Hi Erin, > > Is it an option to use all events and then just post-process the output of > temporal relation extraction to include the events you are interested in? The > temporal module may break if you exclude some events. > > Dima > > > >> On May 11, 2017, at 11:44, Erin Gustafson <erin.gustaf...@northwestern.edu> >> wrote: >> >> Hi all, >> >> I would like to use the temporal module to detect temporal relations >> involving events specific to a phenotype. I've created a custom .bsv >> dictionary with a limited set of concepts relevant to that phenotype, which >> I have used in the past as input to the dictionary look-up algorithm. Now >> I'd like to try to use the same dictionary with the temporal module to limit >> the extracted relations to those involving events of interest. >> >> Is it possible to do this? I've plugged my dictionary in to >> FullTemporalExtractionPipeline, but the detected events still include >> concepts that fall outside my dictionary. >> >> Thanks, >> Erin >
