Tianjun Liu

Also published as: 刘, 天昀

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2023

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CCL23-Eval 任务6系统报告:基于CLS动态加权平均和数据增强的电信网络诈骗案件分类(System Report for CCL23-Eval Task 6:::Classification of Telecom Internet Fraud Cases Based on CLS Dynamic Weighted Average and Data Augement)
Tianjun Liu (天昀刘,) | Tianhua Zhang (张兴华) | Mengxiao Song (宋梦潇) | Tingwen Liu (柳厅文)
Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“电信网络诈骗领域的案件分类作为文本分类的一项落地应用,其目的是为相关案件进行智能化的分析,有助于公安部门掌握诈骗案件的特点,针对性的预防、制止、侦查。本文以此问题为基础,从模型设计、训练过程、数据增强三个方面进行了研究,通过CLS动态加权平均、Multi-Sample Dropout、对抗训练FGM、回译等方法显著提升了模型对诈骗案件描述的分类性能。”
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