cTakes Models

[Leander Melms <Me...@students.uni-marburg.de>]

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
Melms@students.uni <ma...@students.uni>-marburg.de <http://marburg.de/>