Hi Peter,
I created a second engine that just used text matching or regular expressions
given the discovered events. It also uses covering section types, formatted
text and other things, but the text match might be the most impactful item.
You are an accomplished developer so the email scratch
Hi Sean
Ok.. I was confused whether I was meant to find it in the sources.
But while you're reading this, is there a brief way to describe the
difference between the older:package
org.apache.ctakes.assertion.medfacts.cleartk;
and
org.apache.ctakes.assertion.medfacts.cleartk.windowed
Peter
O
Great question.
The package name "windowed" isn't helpfully self-descriptive. It contains yet
another bit of code that I wrote as quickly as possible to help somebody in
real-time with a problem.
* There is only a 'procedural' difference between the two. The models and
methods are the same.
Thank you for the fulsome and humorous response. Yes, I understand
perfectly. We definitely think along the same lines. One of the drawbacks
of static and simple to understand utility functions like JCasUtil's is
that one can just slap things together without getting to grips with the
wastage o
Peter,
That sounds really useful! Were you able to benchmark it for runtime on a
reasonably sized sample of your notes? Just curious because I wouldn't have
expected regex to be that much of a bottleneck.
Tim
On Tue, 2022-01-04 at 17:36 -0800, Peter Abramowitsch wrote:
* External Email - Cauti
Hi Tim,
The performance boost was the frosting on the cake: I had to make changes
(at least for our team) because Negex was not working correctly in
sentences with multiple identified annotations only some of which were
meant to be negated. Negex became over-eager - applying negation when it
shou
