Binghao Tang
2022
Simple Tagging System with RoBERTa for Ancient Chinese
Binghao Tang
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Boda Lin
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Si Li
Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
This paper describes the system submitted for the EvaHan 2022 Shared Task on word segmentation and part-of-speech tagging for Ancient Chinese. Our system is based on the pre-trained language model SIKU-RoBERTa and the simple tagging layers. Our system significantly outperforms the official baselines in the released test sets and shows the effectiveness.