lowed to extract each of them is described below: Text Features: We represent the textual utterances in the dataset using BERT (Devlin et al., 2018), which provides a sentence representation u t ∈ R dt for every utterance u.
the penalty term C is kept as a hyper-parameter which we tune based on each experiment (we choose between 1, 10, 30, 500, and 1000).