However, as is the case in general with pipeline based architectures, such a system is bound to have a fair amount of error propagation, where errors in labeling the acts or subacts affect the performance of mode labeling.
we propose a novel joint inference method for this task where we label modes jointly with dialogue acts and subacts, thereby taking advantage of the inter-dependencies between them.