BLEU (Papineni et al., 2002) and ROUGE (Lin, 2004) are commonly used metrics in machine translation and summarization.
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.