Evaluation is done using 10-fold documentlevel cross-validation, each of which contains 90% of documents as the training data and 10% as the test data.
for the AIMed corpus we apply the exactly same 10-fold split as widely used in a series of relevant studies (e.g., Bunescu et al., 2005a;Giuliano et al., 2006).