Fine tune BART conditioned on frame information to control the metaphor mapping.



University of Michigan - Ann Arbor

Creating Parallel Data: 
1. Identify and mask metaphoric verbs(BERT-based metaphor classification model), (i.e “died” in The house where love had died) and replace them with infilling from a language model(pre-trained BERT).
2. Make sure at least 4 of 5 symbolic beams returned by COMET(Bosselut et al., 2019) are the same.
3. Additionally, tag each sentence with FrameNet frames.(Assume that the relation between the frames for the source and target domains reflects a metaphoric mapping.)

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