no code implementations • 18 Jun 2019 • Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu
Considering that words with different characteristic in the text have different importance for classification, grouping them together separately can strengthen the semantic expression of each part.
2 code implementations • 18 Nov 2017 • Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan
Results show that the proposed content preservation metric is highly correlate to human judgments, and the proposed models are able to generate sentences with higher style transfer strength and similar content preservation score comparing to auto-encoder.
Ranked #5 on Unsupervised Text Style Transfer on Yelp