研究开发基于多人对话的学习型智能答疑机器人  

Research and Develop a Learning Intelligent Answering Robot Based on Multi-Person Dialogue

作　　者：朱哲人 刘敏 陈鹏 Zhu Zhe-ren;Liu Min;Chen Peng

机构地区：[1]中国邮政储蓄银行,北京100069

出　　处：《今日自动化》2021年第11期135-136,共2页Automation Today

摘　　要：银行业是典型的知识密集领域,各部门因业务规则及系统的持续更新、各层级人员流动等因素产生了对业务答疑的知识复用需求。随着深度学习、机器学习在自然语言处理(NLP)、智能图像分析等领域的发展,邮储银行正研究开发一种基于多人对话的“U星”学习型智能答疑机器人。通过运用AI应用能力框架,引入“@”、“引用”等多人对话机制,实现了线上答疑流程创新,减少重复答疑并持续提高答疑准确性,结合智能交互、实时交互、图文交互,不断强化答疑能力,助力业务发展。The banking industry is a typical knowledge-intensive field.Due to factors such as the continuous updating of business rules and systems,and the flow of personnel at all levels,various departments have generated the need for knowledge reuse for business answering.With the development of deep learning and machine learning in natural language processing(NLP),intelligent image analysis and other fields,Postal Savings Bank is researching and developing a"U-star"learning intelligent answering robot based on multi-person dialogue.Through the use of the AI application capability framework and the introduction of multi-person dialogue mechanisms such as“@”and“quotation”,the innovation of online Q&A process is realized,repeated Q&A is reduced and the accuracy of Q&A is continuously improved,combined with intelligent interaction,real-time interaction,and image-text interaction,Continuously strengthen the ability to answer questions and help business development.

关 键 词：多人对话 答疑 自然语言处理 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]