Papers by Xiuyan Jiang
SiBert: Enhanced Chinese Pre-trained Language Model with Sentence Insertion (2020.lrec-1)
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| Challenge: | Recent studies show that pre-trained models can learn unsupervised language representations by self-supervised tasks on large-scale corpora. |
| Approach: | They propose a pre-training task called Sentence Insertion for Chinese query-passage pairs NLP tasks . they propose 'word segmentation' method to enhance Chinese Bert performance . |
| Outcome: | The proposed task improves Chinese pre-trained models significantly. |