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Vecchi et al., 2022 - Google Patents

Transferring multiple text styles using CycleGAN with supervised style latent space

Vecchi et al., 2022

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Document ID
8511759654791323941
Author
Vecchi L
Maffezzolli E
Paraiso E
Publication year
Publication venue
2022 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Text style transfer is a relevant task, contributing to theoretical and practical advancement in several areas, especially when working with non-parallel data. The concept behind non- parallel style transfer is to change a specific dimension of the sentence while retaining the …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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