Multi-Figurative Language Generation


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Figurative language generation is the task of reformulating a given text in the desired figure of speech while still being faithful to the original context. We take the first step towards multi-figurative language modelling by providing a benchmark for the automatic generation of five common figurative forms in English. We train mFLAG employing a scheme for multi-figurative language pre-training on top of BART, and a mechanism for injecting the target figurative information into the encoder; this enables the generation of text with the target figurative form from another figurative form without parallel figurative-figurative sentence pairs. Our approach outperforms all strong baselines. We also offer some qualitative analysis and reflections on the relationship between the different figures of speech.
Originele taal-2English
StatusPublished - okt.-2022
Evenement29th International Conference on Computational Linguistics - Gyeongju, Korea, Republic of
Duur: 12-okt.-202217-okt.-2022


Conference29th International Conference on Computational Linguistics
Verkorte titelCOLING 2022
Land/RegioKorea, Republic of

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