CCL23-Eval 任务6总结报告:电信网络诈骗案件分类(Overview of CCL23-Eval Task 6: Telecom Network Fraud Case Classification)
Chengjie Sun (孙承杰), Jie Ji (纪杰), Boyue Shang (尚伯乐), Binguan Liu (刘秉权)
Abstract
“近年来,电信网络诈骗形势较为严峻,自动化案件分类有助于打击犯罪。本文介绍了任务相关的分类体系,其次从数据集、任务介绍、比赛结果等方面介绍并展示了本次评测任务的相关信息。本次任务共有60支参赛队伍报名,最终有34支队伍提交结果,其中有15支队伍得分超过 baseline,最高得分为0.8660,高于baseline 1.6%。根据结果分析,大部分队伍均采用了BERT类模型。”- Anthology ID:
- 2023.ccl-3.21
- Volume:
- Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
- Month:
- August
- Year:
- 2023
- Address:
- Harbin, China
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 193–200
- Language:
- Chinese
- URL:
- https://aclanthology.org/2023.ccl-3.21
- DOI:
- Cite (ACL):
- Chengjie Sun, Jie Ji, Boyue Shang, and Binguan Liu. 2023. CCL23-Eval 任务6总结报告:电信网络诈骗案件分类(Overview of CCL23-Eval Task 6: Telecom Network Fraud Case Classification). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 193–200, Harbin, China. Chinese Information Processing Society of China.
- Cite (Informal):
- CCL23-Eval 任务6总结报告:电信网络诈骗案件分类(Overview of CCL23-Eval Task 6: Telecom Network Fraud Case Classification) (Sun et al., CCL 2023)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2023.ccl-3.21.pdf