Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis
Generative Adversarial Networks (GAN) is a model for data synthesis, which creates plausible data through the competition of generator and discriminator. Although GAN application to image synthesis is extensively studied, it has inherent limitations to natural language generation. Because natural la...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Linköping University Electronic Press
2023-10-01
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| Series: | Northern European Journal of Language Technology |
| Online Access: | https://nejlt.ep.liu.se/article/view/4855 |
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