Papers with pre-training of text encoders
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations (2020.findings-emnlp)
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| Challenge: | Experimental results show that pre-trained text encoders can perform many NLP tasks with less resource. |
| Approach: | They propose a BERT-based Chinese text encoder enhanced by n-gram representations . they show reasonable performance when ZEN is trained on a small corpus . |
| Outcome: | The proposed encoder incorporates the comprehensive information of both the character sequence and words or phrases it contains. |