most citedModeling of User Portrait Through Social Media

38 citations · 77 across the 11 of their papers we have counts for

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cs.CL20194 cited

An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation

Liming Deng, Jie Wang, Hangming Liang +5

Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, which can hardly be straightfor…

cs.CL20195 cited

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…

cs.CL20193 cited

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…

cs.CL20191 cited

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…

cs.CL20191 cited

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…

cs.CL20191 cited

Deep learning based mood tagging for Chinese song lyrics

Jie Wang, Yilin Yang

Nowadays, listening music has been and will always be an indispensable part of our daily life. In recent years, sentiment analysis of music has been widely used in the information…