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。
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.
出处
《中文信息学报》
CSCD
北大核心
2005年第1期1-7,41,共8页
Journal of Chinese Information Processing
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
artificial intelligence
natural language processing
predicate head identification
syntactic relations between subject and predicate