Papers with BLEU-n
Generating Text through Adversarial Training Using Skip-Thought Vectors (N19-3)
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| Challenge: | Existing approaches to use word embeddings for text generation have been limited. |
| Approach: | They propose to use GANs with word embeddings to reproduce writing style in text . they use a sentence embeddable vector to model people's way of expression . |
| Outcome: | The proposed model outperforms baseline text generation networks across several metrics including BLEU-n, METEOR and ROUGE. |