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利用主语和谓语的句法关系识别谓语中心词
引用本文:李国臣,孟静.利用主语和谓语的句法关系识别谓语中心词[J].中文信息学报,2005,19(1):2-7,41.
作者姓名:李国臣  孟静
作者单位:山西大学计算机与信息技术学院,山西太原 030006
摘    要:谓语中心词识别对于整个句子的句法分析起着重要的作用。目前已有的谓语中心词识别方法,利用谓语中心词候选项的静态语法特征和动态语法特征来确定谓语中心词。在此基础上,本文提出一种利用句子的主语和谓语之间的句法关系来识别谓语中心词的方法。该方法除了利用谓语中心词候选项的静态语法特征和动态语法特征外,还利用主谓语之间的句法关系识别谓语中心词。实验表明,与传统方法相比,这种方法对谓语中心词的识别正确率可以提高3%左右。

关 键 词:人工智能  自然语言处理  谓语中心词识别  主谓语之间的句法关系  
文章编号:1003-0077(2005)01-0001-07

A Method of Identifying the Predicate Head Based on the Correspondence Between the Subject and the Predicate
LI Guo-chen,MENG Jing.A Method of Identifying the Predicate Head Based on the Correspondence Between the Subject and the Predicate[J].Journal of Chinese Information Processing,2005,19(1):2-7,41.
Authors:LI Guo-chen  MENG Jing
Affiliation:College of Computer and Information Technology , Shanxi University , Taiyuan ,Shanxi 030006 ,China
Abstract:Identifying the predicate head plays a very important role in sentence parsing. The traditional approaches rely on the static and dynamic grammatical features of the candidate predicate heads to identify the predicate head. Based on this, the paper proposes a method which identifies the predicate head based on not only the static and dynamic grammatical features of the candidate predicate heads, but also the syntactic relations between the subject and the predicate. The experimental results show that, in comparison with the traditional methods, the proposed method can improve the precision of predicate head identification by about 3 percent.
Keywords:artificial intelligence  natural language processing  predicate head identification  syntactic relations between subject and predicate
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