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Modern French Poetry Generation with RoBERTa and GPT-2

Abstract : We present a novel neural model for modern poetry generation in French. The model consists of two pretrained neural models that are fine-tuned for the poem generation task. The encoder of the model is a RoBERTa based one while the decoder is based on GPT-2. This way the model can benefit from the superior natural language understanding performance of RoBERTa and the good natural language generation performance of GPT-2. Our evaluation shows that the model can create French poetry successfully. On a 5 point scale, the lowest score of 3.57 was given by human judges to typicality and emotionality of the output poetry while the best score of 3.79 was given to understandability.
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https://hal-cnrs.archives-ouvertes.fr/hal-03746349
Contributor : Thierry Poibeau Connect in order to contact the contributor
Submitted on : Friday, August 5, 2022 - 10:49:32 AM
Last modification on : Sunday, August 7, 2022 - 3:38:01 AM

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  • HAL Id : hal-03746349, version 1

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Mika Hämäläinen, Khalid Alnajjar, Thierry Poibeau. Modern French Poetry Generation with RoBERTa and GPT-2. 13th International Conference on Computational Creativity (ICCC) 2022, ICCC, Jun 2022, Bolzano, Italy. ⟨hal-03746349⟩

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