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In the scope of WNUT-2020 Task 2, we developed various text classificationsystems, using deep learning models and one using linguistically informedrules. While both of the deep learning systems outperformed the system usingthe linguistically informed rules, we found that through the integration of(the output of) the three systems a better performance could be achieved thanthe standalone performance of each approach in a cross-validation setting.However, on the test data the performance of the integration was slightly lowerthan our best performing deep learning model. These results hardly indicate anyprogress in line of integrating machine learning and expert rules drivensystems. We expect that the release of the annotation manuals and gold labelsof the test data after this workshop will shed light on these perplexingresults.

COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules