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Text Generation

181 papers with code · Natural Language Processing

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

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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.

MULTIVARIATE TIME SERIES IMPUTATION TEXT GENERATION

Language Models are Unsupervised Multitask Learners

Preprint 2019 huggingface/pytorch-transformers

Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets.

 SOTA for Language Modelling on Text8 (using extra training data)

COMMON SENSE REASONING DOCUMENT SUMMARIZATION LANGUAGE MODELLING MACHINE TRANSLATION QUESTION ANSWERING READING COMPREHENSION TEXT GENERATION

HuggingFace's Transformers: State-of-the-art Natural Language Processing

9 Oct 2019huggingface/transformers

In this paper, we present HuggingFace's Transformers library, a library for state-of-the-art NLP, making these developments available to the community by gathering state-of-the-art general-purpose pretrained models under a unified API together with an ecosystem of libraries, examples, tutorials and scripts targeting many downstream NLP tasks.

TEXT GENERATION TRANSFER LEARNING

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

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

NAACL 2019 pytorch/fairseq

fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks.

LANGUAGE MODELLING 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 facebookresearch/fairseq-py

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

Boundary-Seeking Generative Adversarial Networks

27 Feb 2017eriklindernoren/Keras-GAN

We introduce a method for training GANs with discrete data that uses the estimated difference measure from the discriminator to compute importance weights for generated samples, thus providing a policy gradient for training the generator.

SCENE UNDERSTANDING 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