Using our system we achieved a significantly higher accuracy score of 78.3%.
this could be connected to the observation that the AStD dataset has the largest number of classes (5 classes compared to 4 in Sanders and 3 in Deutsche Bahn) and there could be an inverse correlation between the increased number of classes and the system performance.