most citedImproving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2020★ 3 cited

Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

Qianming Xue, Wei Zhang, Hongyuan Zha

Domain-adapted sentiment classification refers to training on a labeled source domain to well infer document-level sentiment on an unlabeled target domain. Most existing relevant m…

cs.LG2019

Attentive Representation Learning with Adversarial Training for Short Text Clustering

Wei Zhang, Chao Dong, Jianhua Yin +1

Short text clustering has far-reaching effects on semantic analysis, showing its importance for multiple applications such as corpus summarization and information retrieval. Howeve…