Nominal Metaphor Generation with Multitask Learning. (arXiv:2206.05195v1 [cs.CL])

Nominal metaphors are frequently used in human language and have been shown
to be effective in persuading, expressing emotion, and stimulating interest.
This paper tackles the problem of Chinese Nominal Metaphor (NM) generation. We
introduce a novel multitask framework, which jointly optimizes three tasks: NM
identification, NM component identification, and NM generation. The metaphor
identification module is able to perform a self-training procedure, which
discovers novel metaphors from a large-scale unlabeled corpus for NM
generation. The NM component identification module …

arxiv generation learning multitask learning