|Title||Learning to Classify Medical Documents According to Formal and Informal Style|
|Publication Type||Conference Paper|
|Year of Publication||2010|
|Authors||Abu Sheikha, F, Inkpen, D|
|Conference Name||Workshop on Intelligent Methods for Protecting Privacy and Confidentiality in Data|
|Publisher||University of Ottawa|
|Conference Location||Ottawa, Canada|
This paper discusses an important issue in computational linguistics: classifying sets of medical documents into formal or informal style. This might be important for patient safety. Formal documents are more likely to have been published by medical authorities; therefore, the patients could trust them more than they can trust informal documents. We used machine learning techniques in order to automatically classify documents into formal and informal style.