Generating Metaphoric Paraphrases
Table 1: Samples with the highest scores for LexRep
['[EMPTY]', '[BOLD] Source', '[BOLD] Text', '[BOLD] Met', '[BOLD] Flu', '[BOLD] PP']
The replacement model performs well in fluency and paraphrase quality, particularly because it copies most of the input, only replacing a single word. In some cases, the "best fit" candidate is the original input word. These perform exceedingly well in fluency and paraphrase quality, as they match the input sentence, but understandably lack metaphoricity (1). However, in many cases the model often makes novel and metaphoric word choices, indicating the validity of this approach for metaphor generation (2-4).