{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/text-generation-based-on-generative","title":"Text Generation Based on Generative Adversarial Nets with Latent Variable","arxiv_id":"1712.00170","date":"2017-12-01","proceeding":null,"authors":["Heng Wang","Zengchang Qin","Tao Wan"],"abstract":"In this paper, we propose a model using generative adversarial net (GAN) to\ngenerate realistic text. Instead of using standard GAN, we combine variational\nautoencoder (VAE) with generative adversarial net. The use of high-level latent\nrandom variables is helpful to learn the data distribution and solve the\nproblem that generative adversarial net always emits the similar data. We\npropose the VGAN model where the generative model is composed of recurrent\nneural network and VAE. The discriminative model is a convolutional neural\nnetwork. We train the model via policy gradient. We apply the proposed model to\nthe task of text generation and compare it to other recent neural network based\nmodels, such as recurrent neural network language model and SeqGAN. We evaluate\nthe performance of the model by calculating negative log-likelihood and the\nBLEU score. We conduct experiments on three benchmark datasets, and results\nshow that our model outperforms other previous models.","url_abs":"http://arxiv.org/abs/1712.00170v2","url_pdf":"http://arxiv.org/pdf/1712.00170v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"text-generation-based-on-generative","repo_url":"https://github.com/valko073/LyricsGANs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}