机器人Issue(4)：424-434,11.DOI:10.13973/j.cnki.robot.2015.0424
面向室内智能机器人的中文服务指令自主处理方法
An Autonomous Processing Method of Chinese Service Instruction for Indoor Intelligent Robot
摘要
Abstract
An autonomous processing method of Chinese service instruction is investigated to make robot understand natural language. This method directly maps Chinese service instructions to sequences of executable actions. Firstly, the collected corpus of the service instruction expressed in Chinese is deeply studied, and the corresponding relationship between the key information and syntactical structure is presented. According to the grammar rules of phrase chunk, a probability model is used for key information extraction. In order to resolve the problem of task decomposition, a task decomposition template (TDT) is presented. Based on this, the service instruction is mapped to sequences of actions. At last, the simulation about autonomous Chinese instruction processing is performed, and the experimental results of every step are provided, with the average accuracies of 92.9%in chunk marking, 92.7%in information extraction, and 97.2%in instruction parsing, which validates the correctness and availability of the proposed method.关键词
中文服务指令/句法分析/信息提取/指令解析Key words
Chinese service instruction/syntactic analysis/information extraction/instruction parsing分类
信息技术与安全科学引用本文复制引用
高胜男,孔令富,吴培良..面向室内智能机器人的中文服务指令自主处理方法[J].机器人,2015,(4):424-434,11.基金项目
国家自然科学基金项目（61305113）；河北省自然科学基金项目（F2012203199）． （）
