Hi Timothy, Thank you very much for the quick response.
https://pdfs.semanticscholar.org/8f2c/a8b638d216a3e9ec10cd1c21bdaeaa74a229.pdf says The Mayo-derived linguistically annotated corpus (Mayo) was developed in-house and consisted of 273 clinical notes (100 650 tokens; 7299 sentences; 61 consult; 1 discharge summary; 4 educational visit; 4 general medical examination; 48 limited exam; 19 multi-system evaluation; 43 miscellaneous; 1 preoperative medical evaluation; 3 report; 3 specialty evaluation; 5 dismissal summary; 73 subsequent visit; 5 therapy; 3 test-oriented miscellaneous). Is SHARPn based on the aforementioned 273 clinical notes? Also is there a way for me to look into the trained SVM model? Say what are features there and their weights? Best, Yu Pan On Wed, Jan 16, 2019 at 7:58 AM Miller, Timothy < [email protected]> wrote: > It uses an SVM model. The training data is from a project called SHARPn, > it is notes from Mayo Clinic with a variety of note types and specialties > represented. > > As for the example, is it a real example that someone wrote "Deny > hepatitis"? That sounds more like a command than documentation of a negated > concept ("denies" or "denied" would seem more common?). Even if that is a > real example, I think it's unusual enough that there are probably not > examples of "Deny X" in the training data. > > Tim > > > -----Original Message----- > *From*: ouyeyu panyu <[email protected] > <ouyeyu%20panyu%20%[email protected]%3e>> > Reply-to: <[email protected]> > *To*: [email protected], [email protected] > *Subject*: Question about negation [EXTERNAL] > *Date*: Wed, 16 Jan 2019 07:51:20 -0800 > > Hi ctakes dev team, > > > I have one question, hope someone can help me with it. > > For negation, "Denies hepatitis” returns polarity=-1, but "Deny hepatitis” > returns polarity=1. > > It is said CTAKES uses ClearTK’s PolarityCleartkAnalysisEngine for > negation, which is machine learning based. > > It seems this issue is caused by the training data. Is this true? And what > is the training data and what machine learning algorithm is used? > LogisticRegress, SVM, RandomForest or something else? > > Thanks. >
