# Generative Adversarial Networks for text using word2vec intermediaries

arXiv: https://arxiv.org/abs/1904.02293 · HTML: https://mlsanity.com/paper/1904.02293/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Apr 2019.

## Built on by (most cited first, 1 of 1)

- [SparseGAN: Sparse Generative Adversarial Network for Text Generation](https://mlsanity.com/paper/2103.11578/) (2021)

## Abstract (arXiv)

Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images. In this work, we apply similar techniques for the generation of text. We propose a novel approach to handle the discrete nature of text, during training, using word embeddings. Our method is agnostic to vocabulary size and achieves competitive results relative to methods with various discrete gradient estimators.