Combining Minimal Surface Model with DGCNN for Natural Language Understanding

Mingkai Zha,Gongqi Lin,Hongguang Fu, Yunhao Liu, Lei Huang

2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)（2021）

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摘要

Fine-tuning large pre-trained models is an adequate transfer mechanism in Natural Language Processing (NLP). However, it is challenging to serve in resource-restricted devices due to being computationally expensive. To reduce the trainable parameters of models while maintaining accuracy, we propose a novel geometry deep learning approach named Minimal Surface Model on DGCNN (MSM-D). In MSM-D, the ...

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关键词

fine-tuning,BERT,minimal surface,point cloud,NLP

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