Classifying the reported ability in clinical mobility descriptions
Table 5: CNN performance using different inputs.
['Embeddings', 'Able', 'Unable', 'Unclear', 'None', 'Macro']
We note that relying on part of the context significantly drops the Unable performance. However, as expected, prev outperforms next, given that the words preceding the Action mention carry most of the ability-related information. For the rare Unable class, character embeddings outperform word embeddings, with F1 72.9% on the test set; the highest across all systems.