Weighted reduction and its application in automatic correction of Chinese part-of-speech tagging
Fan Min · Kongzhi yu juece · 2007
The concept of weighted reduct is introduced and a weighted reduction algorithm is proposed, in which the weight vector represents knowledge of human experts. The algorithm is an extension of the reduction algorithm based on discernibility, and weighted reducts are more general than traditional reducts. The algorithm is applied to automatic correction of Chinese part-of-speech tagging, and experimental results show that reducts with better prediction potential are obtained by using appropriate setting of the weight vector.