MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset
Semantic Machines (SM) have introduced the use of the dataflow (DF) paradigm
to dialogue modelling, using computational graphs to hierarchically represent
user requests, data, and the dialogue history [Semantic Machines et al. 2020].
Although the main focus of that paper was the SMCalFlow dataset (to date, the
only dataset with "native" DF annotations), they also reported some results of
an experiment using a transformed version of the commonly used MultiWOZ dataset
[Budzianowski et al. 2018] into a DF format. In this paper, we expand the
experiments using DF for the MultiWOZ dataset, exploring some additional
experimental set-ups. The code and instructions to reproduce the experiments
reported here have been released. The contributions of this paper are: 1.) A DF
implementation capable of executing MultiWOZ dialogues; 2.) Several versions of
conversion of MultiWOZ into a DF format are presented; 3.) Experimental results
on state match and translation accuracy.