AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation-Reference-Cited by-同舟云学术

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AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Tian Huishuang,Yang Kexin,Liu Dayiheng,Lv Jiancheng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09534342.pdf?arnumber=9534342

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks;Expert Systems with Applications;2024-12

2. A cross-temporal contrastive disentangled model for ancient Chinese understanding;Neural Networks;2024-11

3. SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities;Journal on Computing and Cultural Heritage;2024-07-15

4. A complex network approach to analyse pre-trained language models for ancient Chinese;Royal Society Open Science;2024-05

5. Confidence-based Syntax encoding network for better ancient Chinese understanding;Information Processing & Management;2024-05

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