A NEW SENTENCE REDUCTION TECHNIQUE BASED ON A DECISION TREE MODEL
Le-Minh Nguyen, Xuan-Hieu Phan, Susumu Horiguchi, Akira Shimazu · International Journal of Artificial Intelligence Tools · 2007
This paper addresses a novel sentence reduction algorithm based on a decision tree model in which semantic information is used to enhance the accuracy of sentence reduction. The proposed algorithm is able to deal with the changeable order problem in sentence reduction. Furthermore, the use of decision list to solve the fragment problem in sentence reduction based decision tree model is also discussed. Our experimental results show an improvement when compared with earlier methods.