One possible reason is that ³city² is the closest event to the nearby temporal expression, ³4 years ago². Our temporal system, especially the event-time model would favor closest relation pairs.
Best, Chen On 5/11/17, 2:12 PM, "Dligach, Dmitriy" <ddlig...@luc.edu> wrote: >Hi Erin, > >I would expect the relation annotator to catch contains(for 4 years, >sinusitis) but clearly it¹s 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 >> >
