Use semantic meaning of coreference to improve classification text representation
On large scale dataset, the effect of automatic text classification is now still far from perfect. Its a common agreement that more sufficient text semantic meaning be adopted in text representation to deal with the challenge. This paper introduces semantic meaning of coreference in and to improve traditional BOW representation. The result of text classification experiment shows that, contrasted with traditional BOW representation, the improved model increases the discernment to positive instances. And that the classification performance of the new BOW representation model is no less good than that of stemmed BOW representation model.
text classification coreference analysis BOW text representation tfidf
Ziqiang Li Mingtian Zhou
School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaCh School of Computer Science and Engineering University of Electronic Science and Technology of China
国际会议
成都
英文
1-5
2010-04-16（万方平台首次上网日期，不代表论文的发表时间）