controllable-text-attribute-transfer icon indicating copy to clipboard operation
controllable-text-attribute-transfer copied to clipboard

Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

Results 15 controllable-text-attribute-transfer issues
Sort by recently updated
recently updated
newest added

'./data/imagecaption/sentiment.test.0' and './data/imagecaption/sentiment.test.1' are identical.

I apologize for not checking the issues on the Github repo in time, because I did not regularly check the GitHub account after publishing the code. I will respond to...

请问这两个文件就是风格转换之后的输出吗?分别使用了w=1和w=2?论文中的acc,bleu这些值就是通过这两个文件的结果计算的吗?

Could you provide detailed information of for Multi-Aspect Sentiment Transfer experiment ? (model code, input data and output data)

Great work! but there is an issue about "fgim_attack" since it return nothing, but "eval_iters" wants to save the results of it to the file. Thanks again for your job!

Thanks for sharing the code and great work! The paper picks several example sentences and they look amazing. But after running the code, I could hardly see such good examples....

torch.nn.GRU 's input shape is [[sequence_size, batch_size, hidden_size]](https://pytorch.org/docs/stable/nn.html#torch.nn.GRU). But your code such as https://github.com/Nrgeup/controllable-text-attribute-transfer/blob/master/method/mymodel-yelp/model2.py#L315 is [batch_size, sequence_size, hidden_size]. I think your code is something wrong...

Hi I'm trying to reproduce your work about YELP dataset. However, the BLEU score that i've gotten is quite different. I trained the model 200 times and got the score...