68 citations · 169 across the 24 of their papers we have counts for
8 papers · 1 filter
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…
A Neural Approach to Irony Generation
Mengdi Zhu, Zhiwei Yu, Xiaojun Wan
Ironies can not only express stronger emotions but also show a sense of humor. With the development of social media, ironies are widely used in public. Although many prior research…
INS: An Interactive Chinese News Synthesis System
Hui Liu, Wentao Qin, Xiaojun Wan
Nowadays, we are surrounded by more and more online news articles. Tens or hundreds of news articles need to be read if we wish to explore a hot news event or topic. So it is of vi…
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
Junjie Cao, Zi Lin, Weiwei Sun +1
We present a phenomenon-oriented comparative analysis of the two dominant approaches in task-independent semantic parsing: classic, knowledge-intensive and neural, data-intensive m…
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…
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…