Include NLG papers

[blakeperdue]

NLG, the other end of NLP, is important in many fields where AI is being applied. Please include the latest NLG research as well as imo it would be very helpful.

[RedditSota]

Can you please provide some help in NLG

[Bachstelze]

The recent results in natural language generation are stll heavily discussed.
Some approaches to look at for general generation:

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
https://github.com/kefirski/contiguous-succotash

Toward Controlled Generation of Text
https://github.com/DSKSD/Controlled_Text_Generation
https://github.com/GBLin5566/toward-controlled-generation-of-text-pytorch

Generating Sentences from a Continuous Space:
https://github.com/Chung-I/Variational-Recurrent-Autoencoder-Tensorflow
https://github.com/kefirski/pytorch_RVAE

A Hybrid Convolutional Variational Autoencoder for Text Generation
https://github.com/stas-semeniuta/textvae

Neural Variational Inference for Text Processing
https://github.com/carpedm20/variational-text-tensorflow

Language Generation with Recurrent Generative Adversarial Networks without Pre-training:
https://github.com/amirbar/rnn.wgan

For sure there are other specific fields which correspondent with the generation field.
Like paraphrasing:

Neural Paraphrase Generation with Stacked Residual LSTM Networks
https://github.com/iamaaditya/neural-paraphrase-generation

Towards Universal Paraphrastic Sentence Embeddings
https://github.com/jwieting/iclr2016

Paraphrase Generation with Deep Reinforcement Learning
https://arxiv.org/abs/1711.00279

A Deep Generative Framework for Paraphrase Generation
https://arxiv.org/abs/1709.05074

And error correction:

https://github.com/surmenok/DeepSpell_temp

https://github.com/nirbhayjm/sentence_grammar_correction

https://github.com/atpaino/deep-text-corrector
docu: https://docs.floydhub.com/examples/deep_corrector/
blog: http://atpaino.com/2017/01/03/deep-text-correcter.html

recent papers for error correction:
papers:
https://arxiv.org/abs/1604.04677
https://arxiv.org/abs/1707.02026
https://arxiv.org/abs/1709.06429
https://arxiv.org/abs/1606.00189
https://arxiv.org/abs/1707.00299
https://sinaahmadi.github.io/files/[SinaAhmadi]Masters_thesis.pdf

for other nlp tasks checkout; https://github.com/Kyubyong/nlp_tasks

[Bachstelze]

and don't forget SeqGan: https://github.com/LantaoYu/SeqGAN

[RedditSota]

Thanks will update

…

On Sat, Nov 18, 2017 at 10:19 AM Bachstelze ***@***.***> wrote: and don't forget SeqGan: https://github.com/LantaoYu/SeqGAN — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/Af83iyqVE0UA03o8GIDq6-ntmfk9z3-9ks5s3vV1gaJpZM4QdaAY> .

[Bachstelze]

Thanks will update

No problem. Did you get my email?

[RedditSota]

Yes. Thank you

…

On Sat, Nov 18, 2017 at 10:49 AM Bachstelze ***@***.***> wrote: Thanks will update No problem. Did you get my email? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/Af83i7-vjpZHtZ52gZoJLFL9LN7gb0y_ks5s3vxygaJpZM4QdaAY> .

[Bachstelze]

Learning Generic Sentence Representations Using
Convolutional Neural Networks ... for multiple tasks like sentence reconstruction and future sentence prediction
paper: https://arxiv.org/pdf/1611.07897.pdf
code: https://github.com/zhegan27/ConvSent