Pick: inspired by recent advances in transfer learning for language representation, we fine-tune the pre-trained deep bidirectional transformers for language understanding model (BERT) (Devlin et al., 2019) as a classifier to select omitted words from previous utterances.
instead of discrete classifications, we first formulate this word selection problem as a sequence tagging problem.