System Report for CCL23-Eval Task 3: UIR-ISC Pre-trained Language Medel for Chinese Frame Semantic Parsing
Yingxuan Guan, Xunyuan Liu, Lu Zhang, Zexian Xie, Binyang Li
Abstract
“Chinese Frame Semantic Parsing (CFSP) is a semantic parsing task based on Chinese FrameNet(CFN). This paper presents a solution for CCL2023-Eval Task 3. We first attempt various pre-trained models for different sub-tasks. Then, we explore multiple approaches to solving eachtask from the perspectives of feature engineering, model structure, and other tricks. Finally,we provide prospects for the task and propose potential alternative solutions. We conductedextensive comparative experiments to validate the effectiveness of our system. Introduction”- Anthology ID:
- 2023.ccl-3.12
- Volume:
- Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
- Month:
- August
- Year:
- 2023
- Address:
- Harbin, China
- Editors:
- Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 124–138
- Language:
- English
- URL:
- https://aclanthology.org/2023.ccl-3.12
- DOI:
- Cite (ACL):
- Yingxuan Guan, Xunyuan Liu, Lu Zhang, Zexian Xie, and Binyang Li. 2023. System Report for CCL23-Eval Task 3: UIR-ISC Pre-trained Language Medel for Chinese Frame Semantic Parsing. In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 124–138, Harbin, China. Chinese Information Processing Society of China.
- Cite (Informal):
- System Report for CCL23-Eval Task 3: UIR-ISC Pre-trained Language Medel for Chinese Frame Semantic Parsing (Guan et al., CCL 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.ccl-3.12.pdf