most citedCNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification

3 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2022★ 3 cited

CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification

Charaf Eddine Benarab, Shenglin Gui

BERT achieves remarkable results in text classification tasks, it is yet not fully exploited, since only the last layer is used as a representation output for downstream classifier…

cs.CL2021★ 1 cited

Hybrid Multisource Feature Fusion for the Text Clustering

Jiaxuan Chen, Shenglin Gui

The text clustering technique is an unsupervised text mining method which are used to partition a huge amount of text documents into groups. It has been reported that text clusteri…