汉语复句关系词自动标识中规则引擎的研究  

Research on Rule Engine for Automatic Identification of Relational Words in Chinese Complex Sentences

作　　者：杨进才[1] 谢芳[2] 胡金柱[1] 

机构地区：[1]华中师范大学计算机学院,武汉430079 [2]湖北工业大学计算机学院,武汉430068

出　　处：《计算机科学》2014年第B11期25-28,共4页Computer Science

基　　金：国家教育部人文社科基金(13YJAZH117);国家社科基金(11BYY052)资助

摘　　要：近年来规则引擎的研究取得了丰硕的成果,将其成果应用到各个方面为汉语复句处理带来了全新的思路与途径。将规则引擎用于复句关系词自动标识中,设计了规则引擎的结构,提出了关系搭配集的模式匹配策略、消除冲突规则的"消除包含最大化策略"以及最终结果集的"正覆盖"策略。在规则引擎中,3种策略的应用提高了复句关系词识别的效率与准确率。In recent years,the study of the rules engine has achieved fruitful results.It brings new ways and ideas to the processing of Chinese complex sentences.In this paper,we designed a rule engine for automatic identification of relational words in Chinese complex sentences.A pattern-matching strategy to select relation words set,a＇eliminate contains maximizing strategy＇to eliminate the conflict rules,and a‘front cover strategy＇to select final result were designed.By using the three strategies in rule engine,the efficiency and accuracy of identification of relational words in Chinese complex sentences are improved.

关 键 词：自动标识 规则引擎 模式匹配 规则冲突 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]