Browse > Natural Language Processing > Text Generation

Text Generation

125 papers with code · Natural Language Processing

Text generation is the task of generating text with the goal of appearing indistinguishable to human-written text.

State-of-the-art leaderboards

Greatest papers with code

MaskGAN: Better Text Generation via Filling in the______

23 Jan 2018tensorflow/models

Additionally, these models are typically trained via maxi- mum likelihood and teacher forcing.

TEXT GENERATION

Generating Sequences With Recurrent Neural Networks

4 Aug 2013karpathy/char-rnn

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.

TEXT GENERATION

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.

IMAGE CAPTIONING TEXT GENERATION

Mixture Models for Diverse Machine Translation: Tricks of the Trade

20 Feb 2019pytorch/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

MACHINE TRANSLATION TEXT GENERATION

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

7 Oct 2016facebookresearch/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.

LANGUAGE MODELLING MACHINE TRANSLATION TEXT GENERATION

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

18 Sep 2016LantaoYu/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.

TEXT GENERATION

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

4 Sep 2018asyml/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.

MACHINE TRANSLATION TEXT GENERATION

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.

DECISION MAKING TEXT GENERATION

Texygen: A Benchmarking Platform for Text Generation Models

6 Feb 2018geek-ai/Texygen

We introduce Texygen, a benchmarking platform to support research on open-domain text generation models.

TEXT GENERATION