Abstract
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.- Anthology ID:
- 2022.lt4hala-1.24
- Volume:
- Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Rachele Sprugnoli, Marco Passarotti
- Venue:
- LT4HALA
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 159–163
- Language:
- URL:
- https://aclanthology.org/2022.lt4hala-1.24
- DOI:
- Cite (ACL):
- Binghao Tang, Boda Lin, and Si Li. 2022. Simple Tagging System with RoBERTa for Ancient Chinese. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages, pages 159–163, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Simple Tagging System with RoBERTa for Ancient Chinese (Tang et al., LT4HALA 2022)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2022.lt4hala-1.24.pdf