Text Generation
Text generation is the task of generating text with the goal of appearing indistinguishable to human-written text.
State-of-the-art leaderboards
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Subtasks
Greatest papers with code
MaskGAN: Better Text Generation via Filling in the______
Additionally, these models are typically trained via maxi- mum likelihood and teacher forcing.
Generating Sequences With Recurrent Neural Networks
This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range structure, simply by predicting one data point at a time.
Show and Tell: A Neural Image Caption Generator
CVPR 2015
• karpathy/neuraltalk
• 
Experiments on several datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions.
Mixture Models for Diverse Machine Translation: Tricks of the Trade
• pytorch/fairseq
• 
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
• facebookresearch/fairseq-py
•
We observe that our method consistently outperforms BS and previously proposed techniques for diverse decoding from neural sequence models.
IMAGE CAPTIONING MACHINE TRANSLATION QUESTION GENERATION TEXT GENERATION TIME SERIES
Sequence-to-Sequence Learning as Beam-Search Optimization
EMNLP 2016
• pytorch/fairseq
•
In this work, we introduce a model and beam-search training scheme, based on the work of Daume III and Marcu (2005), that extends seq2seq to learn global sequence scores.
#14 best model for
Machine Translation
on IWSLT2015 German-English
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
• LantaoYu/SeqGAN
• 
As a new way of training generative models, Generative Adversarial Nets (GAN) that uses a discriminative model to guide the training of the generative model has enjoyed considerable success in generating real-valued data.
#2 best model for
Text Generation
on EMNLP2017 WMT
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
• asyml/texar
•
We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transforms any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth.
Hierarchical Text Generation and Planning for Strategic Dialogue
ICML 2018
• facebookresearch/end-to-end-negotiator
•
End-to-end models for goal-orientated dialogue are challenging to train, because linguistic and strategic aspects are entangled in latent state vectors.
Texygen: A Benchmarking Platform for Text Generation Models
• geek-ai/Texygen
•
We introduce Texygen, a benchmarking platform to support research on open-domain text generation models.