6 citations · 20 across the 10 of their papers we have counts for
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cs.CL2022★ 3 cited
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
Wenbiao Li, Ziyang Wang, Yunfang Wu
For readability assessment, traditional methods mainly employ machine learning classifiers with hundreds of linguistic features. Although the deep learning model has become the pro…
cs.CL2022★ 2 cited
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
Zichen Wu, Xin Jia, Fanyi Qu +1
Today the pre-trained language models achieve great success for question generation (QG) task and significantly outperform traditional sequence-to-sequence approaches. However, the…
cs.CL2022★ 1 cited
Focus-Driven Contrastive Learniang for Medical Question Summarization
Ming Zhang, Shuai Dou, Ziyang Wang +1
Automatic medical question summarization can significantly help the system to understand consumer health questions and retrieve correct answers. The Seq2Seq model based on maximum…