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Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

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Hi, It seems that the links are invalid now. https://drive.google.com/open?id=16gO8cLXttGR64_xvLHgMwgJeB1DzT93N anyone can share a new link? Thanks, Jun

i'm trying to pass some sentences as input to the model and paraphrase them some how, do you think that this model works for me? also i really appreciate any...

Can you please provide instructions on how to get *.map files (for example ../text_simplification_data/test2/nmap/test.8turkers.tok.map) and *.features (for example text_simplification_data/test2/ncomp/test.8turkers.tok.norm.features) using your code? It would be great if you could share...

Can you please share the command to sample from the pre-trained model you made available? Thanks!

What version of Tensorflow is needed to run the code?

Can anyone please provide the proper hierarchy and folder for text_simplification_data.

@Sanqiang Can you please provide the file for vocab rules `/zfs1/hdaqing/saz31/dataset/tmp_trans/ner/rule_vocab2`

The file loss.py seems to contain a function for sequence loss, but not critic loss. In fact, after searching the repo for "critic_loss", "critic", "crit", and similar terms, I haven't...

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...