Chinese time expression recognition based on semantic role
Xiao-Li Mao · Jisuanji yingyong yanjiu · 2011
This paper proposed a new Chinese time expression recognition method with a variety of common features plus semantic roles features according to the characteristics of Chinese time expression and using the feature vector to train a CRFs-classifier.When recognizing the Chinese time expressions,this method achieved the F1 measure of 85.6% which was increased by 5.2% compared with no semantic role features on the data supplied by the TempEval-2 task of SemEval-2010.Experimental results show that the proposed method is benefit to Chinese time expression recognition.