335 citations · 565 across the 45 of their papers we have counts for
7 papers · 1 filter
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu Sun, Qihao Zhu, Yingfei Xiong +3
A code generation system generates programming language code based on an input natural language description. State-of-the-art approaches rely on neural networks for code generation…
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
Amirpasha Ghabussi, Lili Mou, Olga Vechtomova
Wasserstein autoencoders are effective for text generation. They do not however provide any control over the style and topic of the generated sentences if the dataset has multiple…
Adversarial Learning on the Latent Space for Diverse Dialog Generation
Kashif Khan, Gaurav Sahu, Vikash Balasubramanian +2
Generating relevant responses in a dialog is challenging, and requires not only proper modeling of context in the conversation but also being able to generate fluent sentences duri…
Unsupervised Paraphrasing by Simulated Annealing
Xianggen Liu, Lili Mou, Fandong Meng +3
Unsupervised paraphrase generation is a promising and important research topic in natural language processing. We propose UPSA, a novel approach that accomplishes Unsupervised Para…
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Yu Bao, Hao Zhou, Shujian Huang +5
Variational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space. However, generating sentences from the continuous lat…
An Imitation Learning Approach to Unsupervised Parsing
Bowen Li, Lili Mou, Frank Keller
Recently, there has been an increasing interest in unsupervised parsers that optimize semantically oriented objectives, typically using reinforcement learning. Unfortunately, the l…