Chinese Comparative Sentence Identification Based On Multi-feature Fusion
Zhang Che · Zhongwen xinxi xuebao · 2013
Opinions always carry important information of texts.Comparative sentence is a common way to express opinion.This paper described how to recognize comparative sentences from Chinese text documents by applying rule-based methods and statistical methods as well as analyze the performance of these methods.This method firstly normalized the corpus and its segmentation results,and then got the broad extraction results by using a lexiconbased method,sentence structure and dependent relationship analysis.Then a kind of CSR rule extraction algorithm was designed to extract the dependency relationship.The paper also used a CRF algorithm to identify entities and semantic roles.Finally,by using SVM classifier and choosing different feature dimensions the paper found the most optimum and effective features combination to finish the accurate extraction.