Are You for Real? Detecting Identity Fraud via Dialogue Interactions | |
Wang, Weikang2,3; Zhang, Jiajun2,3; Li, Qian1; Zong, Chengqing2,3,4; Li, Zhifei1 | |
2019-11 | |
会议日期 | 2019-11 |
会议地点 | 香港 |
英文摘要 | Identity fraud detection is of great importance in many real-world scenarios such as the financial industry. However, few studies addressed this problem before. In this paper, we focus on identity fraud detection in loan applications and propose to solve this problem with a novel interactive dialogue system which consists of two modules. One is the knowledge graph (KG) constructor organizing the personal information for each loan applicant. The other is structured dialogue management that can dynamically generate a series of questions based on the personal KG to ask the applicants and determine their identity states. We also present a heuristic user simulator based on problem analysis to evaluate our method. Experiments have shown that the trainable dialogue system can effectively detect fraudsters, and achieve higher recognition accuracy compared with rule-based systems. Furthermore, our learned dialogue strategies are interpretable and flexible, which can help promote real-world applications. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39125] |
专题 | 模式识别国家重点实验室_自然语言处理 |
作者单位 | 1.Mobvoi, Beijing, China 2.National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China 3.University of Chinese Academy of Sciences, Beijing, China 4.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China |
推荐引用方式 GB/T 7714 | Wang, Weikang,Zhang, Jiajun,Li, Qian,et al. Are You for Real? Detecting Identity Fraud via Dialogue Interactions[C]. 见:. 香港. 2019-11. |
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