1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2019
Automated Chess Commentator Powered by Neural Chess Engine
Hongyu Zang, Zhiwei Yu, Xiaojun Wan
In this paper, we explore a new approach for automated chess commentary generation, which aims to generate chess commentary texts in different categories (e.g., description, compar…
cs.CL2019★ 1 cited
A Semi-Supervised Approach for Low-Resourced Text Generation
Hongyu Zang, Xiaojun Wan
Recently, encoder-decoder neural models have achieved great success on text generation tasks. However, one problem of this kind of models is that their performances are usually lim…
cs.CL2019
Massive Styles Transfer with Limited Labeled Data
Hongyu Zang, Xiaojun Wan
Language style transfer has attracted more and more attention in the past few years. Recent researches focus on improving neural models targeting at transferring from one style to…