Learning to Identify Chinese Comparative Sentences
Jianguo Xiao · Zhongwen xinxi xuebao · 2008
Comparison is a common kind of expression,and it is novel and substantial research to extract relations between objects.Identifying sentences in natural language is an important step in extracting relations.To our knowledge,there is no research on identifying Chinese sentences automatically.This paper first defines the problem of Chinese sentence identification,and then proposes to use SVM to classify a Chinese sentence into either comparative or not.Various linguistic and statistical features have been explored,such as keywords and sequential patterns.Experimental results demonstrate the effectiveness of the sequential patterns,i.e.the classifier with sequential patterns can significantly outperform the traditional term-based classifier.We also empirically investigate the important factors that affect classification performance.