POS Tagging System on Hierachical Classification Labels
Shen Chao · Jisuanji gongcheng · 2009
The development of Internet gives birth to many unconventional datasets like hierarchical classification labels. Current Part Of Speech(POS) tagging tools fail on these datasets. To solve this problem,this paper proposes a simple method using Max Entropy Model(MEM) framework,which introduces a new tag and two new features extracted from Wordnet and Wikipedia,and comes up with a significant improvement. Experimental results show that the precision reaches 93.77% on DMoz.