  As spoken dialogue systems and chatbots are gaining more widespread adoption,
commercial and open-sourced services for natural language understanding are
emerging. In this paper, we explain how we altered the open-source RASA natural
language understanding pipeline to process incrementally (i.e., word-by-word),
following the incremental unit framework proposed by Schlangen and Skantze. To
do so, we altered existing RASA components to process incrementally, and added
an update-incremental intent recognition model as a component to RASA. Our
evaluations on the Snips dataset show that our changes allow RASA to function
as an effective incremental natural language understanding service.
