Improving Chinese POS Tagging with Dependency Parsing
Zhenghua Li, Wanxiang Che, Ting Liu · 2011
Recent research usually models POS tag-ging as a sequential labeling problem, in which only local context features can be used. Due to the lack of morphological inflections, many tagging ambiguities in Chinese are difficult to handle unless con-sulting larger contexts. In this paper, we try to improve Chinese POS tagging by us-ing long-distance dependencies produced by a statistical dependency parser. Ex-perimental results show that, despite er-ror propagation, the syntactic features can significantly improve the tagging accuracy from 93.88 % to 94.41 % (p < 10−5). Detailed analysis shows that these fea-tures are helpful for ambiguous pairs like {NN,VV} and {DEC,DEG}.1 1