173 citations · 327 across the 3 of their papers we have counts for
4 papers
Neural Text Generation: A Practical Guide
Ziang Xie
Deep learning methods have recently achieved great empirical success on machine translation, dialogue response generation, summarization, and other text generation tasks. At a high…
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noisi…
Neural Language Correction with Character-Based Attention
Ziang Xie, Anand Avati, Naveen Arivazhagan +2
Natural language correction has the potential to help language learners improve their writing skills. While approaches with separate classifiers for different error types have high…
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
Andrew L. Maas, Peng Qi, Ziang Xie +4
Deep neural networks (DNNs) are now a central component of nearly all state-of-the-art speech recognition systems. Building neural network acoustic models requires several design d…