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27 juin 2022
- handle: 10670/1.2g9gdh
- hal: hal-03746349
info:eu-repo/semantics/OpenAccess
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Poetry generation Language Model Deep LearningCiter ce document
Mika Hämäläinen et al., « Modern French Poetry Generation with RoBERTa and GPT-2 », HAL-SHS : linguistique, ID : 10670/1.2g9gdh
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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.