摘要
分析人工智能聊天机器人ALICE的知识组织结构和推理机制,研究ALICE在处理汉语时需要解决的问题,提出利用语义语法扩展知识描述语言AIML的表达能力.采用不确定性推理进行模式搜索并对结果打分择优和答案动态提取,基于ALICE设计实现了一个汉语自然语言接口——CNLIS,系统结构与具体领域无关.实验结果表明,该接口移植方便,准确率和召回率可分别达到91.45%和91.70%.
The knowledge organization of ALICE and its deduction mechanism are analyzed. Some shortcomings can arise when ALICE is used in processing Chinese. Relevant solutions on extended semantic grammar, pattern-matching algorithm and dynamic answer extraction are proposed. A domain independent Chinese natural language interface CNLIS is implemented based on ALICE. Experiments prove that CNLIS can be easily combined with domain knowledge and achieve 91.45% precision and 91.70% recall.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2004年第10期885-889,共5页
Transactions of Beijing Institute of Technology
关键词
ALICE
人工智能标记语言
汉语自然语言接口
语义语法
artifical linguistic internet computer entity(ALICE)
artificial intelligence markup language
Chinese natural language interface
semantic grammar
