/Text-Generation-Papers

Paper collection of Neural Text Generation

Text-Generation-Papers

Paper collection of Neural Text Generation tasks, may include Image Caption / Summarization

(working on it ......)

Survey

  • 2016 Tutorial on variational autoencoders [pdf]

  • 2017 Neural text generation: A practical guide [pdf]

  • 2018 Survey of the state of the art in natural language generation: Core tasks, applications and evaluation [pdf]

  • 2018 Neural Text Generation: Past, Present and Beyond [pdf]

  • 2018 Survey of the state of the art in natural language generation: Core tasks, applications and evaluation [link]

Text Generation Model

General

Classic

  • 1997 Long short-term memory [pdf] (LSTM)

  • 2003 A neural probabilistic language model [pdf] (NNLM)

  • 2010 Recurrent neural network based language model [pdf] (RNNLM)

  • 2014 Sequence to sequence learning with neural networks [pdf] (seq2seq)

  • 2014 Neural machine translation by jointly learning to align and translate [pdf] (Attn)

  • 2014 Learning phrase representations using RNN encoder-decoder for statistical machine translation [pdf] (GRU)

  • 2015 Scheduled sampling for sequence prediction with recurrent neural networks [pdf]

  • 2017 Attention is all you need [pdf]

Others

  • 2016 Controlling Output Length in Neural Encoder-Decoders [pdf]

  • 2019 Non-Monotonic Sequential Text Generation [pdf]

VAE

  • 2013 Auto-encoding variational bayes [pdf] (VAE)

  • 2015 Generating Sentences from a Continuous Space [pdf]

  • 2017 Toward controlled generation of text [pdf]

  • 2017 Improved variational autoencoders for text modeling using dilated convolutions [pdf]

  • 2017 Variational Attention for Sequence-to-Sequence Models [pdf]

  • 2018 Semi-Amortized Variational Autoencoders [pdf]

  • 2018 Unsupervised natural language generation with denoising autoencoders [pdf]

  • 2018 Latent alignment and variational attention [pdf] (Attn-VAE)

GAN

  • 2016 Gans for sequences of discrete elements with the gumbel-softmax distribution [pdf] (Gumbel-Softmax)

  • 2017 Seqgan: Sequence generative adversarial nets with policy gradient [link] (SeqGAN)

  • 2017 Maximum-likelihood augmented discrete generative adversarial networks [pdf] (MaliGAN)

  • 2017 Adversarial ranking for language generation [pdf] (RankGAN)

  • 2017 Adversarial feature matching for text generation [pdf] (TextGAN)

  • 2018 Maskgan: Better text generation via filling in the _ [pdf] (MaskGAN)

  • 2018 Long text generation via adversarial training with leaked information [pdf] (LeakGAN)

  • 2018 Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation [pdf] (DpGAN)

  • 2018 SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks [pdf] (SentiGAN)

Image Caption

Classic

  • 2015 Show, attend and tell: Neural image caption generation with visual attention [pdf] (ATTN)

  • 2015 Show and tell: A neural image caption generator [pdf] (NIC)

  • 2015 Deep visual-semantic alignments for generating image descriptions [pdf]

  • 2017 Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning [pdf] (Ada-ATTN)

  • 2017 Self-critical sequence training for image captioning [pdf] (SCST)

  • 2017 Towards Diverse and Natural Image Descriptions via a Conditional GAN [pdf]

Others

  • 2018 Entity-aware Image Caption Generation [pdf]

Summarization

Reinforcement Learning

  • 2018 A Deep Reinforced Model for Abstractive Summarization [pdf]

  • 2018 Improving Abstraction in Text Summarization [pdf]

  • 2018 Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting [pdf]

  • 2018 Multi-Reward Reinforced Summarization with Saliency and Entailment [pdf]

  • 2018 Closed-Book Training to Improve Summarization Encoder Memory [pdf]