Yes, I succcessfully trained a chunker and sentence detection model. However, I'm still not sure how training of the lemmatizer and the semantic role labeler, relation extractor, historyOf, conditional (cTakes assertion), polarity, subject, uncertainity, sideEffect libsvm models has been performed.
Any documentation or training scripts are hightly appreciated. Thanks Leander Melms > On 25 Oct 2016, at 15:47, lewis john mcgibbney <[email protected]> wrote: > > Hi Leander, > Hve you seen the fllowing documentation? > > https://cwiki.apache.org/confluence/display/CTAKES/cTAKES+3.2+Dictionaries+and+Models > > <https://cwiki.apache.org/confluence/display/CTAKES/cTAKES+3.2+Dictionaries+and+Models> > > ? > > On Tue, Oct 25, 2016 at 12:29 AM, <[email protected] > <mailto:[email protected]>> wrote: > > From: Leander Melms <[email protected] > <mailto:[email protected]>> > To: [email protected] <mailto:[email protected]> > Cc: > Date: Tue, 25 Oct 2016 09:21:21 +0200 > Subject: cTakes Models > Dear cTAKES Dev Community, > > I'm a doctoral candidate at ZUSE Marburg, an institution for differential > diagnosis of rare diseases, and I'm currently working with cTAKES. I'd like > to train various models, including but not limited to the pependency parser > (mayo-en-dep), the lemmatizer and the semantic role labeler, relation > extractor, historyOf, conditional (cTakes assertion), polarity, subject, > uncertainity, sideEffect libsvm models l on a German text corpus. > Unfortunately, I haven't found much information on how training was performed > yet. > > Any hints towards how the training data was labeled and formatted or even > training scripts would be greatly appreciated. We have a mid-sized text > corpus of patient discharge summaries and would be excited to integrate > cTAKES in differetial diagnoses. > > Best regards > Leander Melms > Doctoral candidate and medical student at Philipps-University Marburg > [email protected] <mailto:[email protected]>-marburg.de <http://marburg.de/> > > > > -- > http://home.apache.org/~lewismc/ <http://home.apache.org/%7Elewismc/> > @hectorMcSpector > http://www.linkedin.com/in/lmcgibbney <http://www.linkedin.com/in/lmcgibbney>
