38 citations
- Beijing University of Posts and TelecommunicationsCN4 papers
- Shenzhen Technology UniversityCN4 papers
- University of Science and Technology of ChinaCN2 papers
- Computer Network Information CenterCN1 paper
- Microsoft (United States)US1 paper
- National Institutes of Health Clinical CenterUS1 paper
- Nature Inspires Creativity Engineers Lab1 paper
- University of Illinois Urbana-ChampaignUS1 paper
4 papers · 1 filter
Automatic Conditional Generation of Personalized Social Media Short Texts
Ziwen Wang, Jie Wang, Haiqian Gu +2
Automatic text generation has received much attention owing to rapid development of deep neural networks. In general, text generation systems based on statistical language model wi…
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
Xu Lu, Jie Wang, Bojin Zhuang +2
This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody. Most previously reported lyrics generation models fail to include…
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines
Haoshen Fan, Jie Wang, Bojin Zhuang +2
As one of the quintessence of Chinese traditional culture, couplet compromises two syntactically symmetric clauses equal in length, namely, an antecedent and subsequent clause. Mor…
A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation
Haoshen Fan, Jie Wang, Bojin Zhuang +2
In this paper, we comprehensively study on context-aware generation of Chinese song lyrics. Conventional text generative models generate a sequence or sentence word by word, failin…