TY - GEN
T1 - Improving Chinese POS Tagging with Dependency Parsing
AU - Li, Zhenghua
AU - Che, Wanxiang
AU - Liu, Ting
N1 - Publisher Copyright:
© 2011 AFNLP
PY - 2011
Y1 - 2011
N2 - Recent research usually models POS tagging 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 consulting larger contexts. In this paper, we try to improve Chinese POS tagging by using long-distance dependencies produced by a statistical dependency parser. Experimental results show that, despite error propagation, the syntactic features can significantly improve the tagging accuracy from 93.88% to 94.41% (p < 10-5). Detailed analysis shows that these features are helpful for ambiguous pairs like {NN,VV} and {DEC,DEG}.
AB - Recent research usually models POS tagging 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 consulting larger contexts. In this paper, we try to improve Chinese POS tagging by using long-distance dependencies produced by a statistical dependency parser. Experimental results show that, despite error propagation, the syntactic features can significantly improve the tagging accuracy from 93.88% to 94.41% (p < 10-5). Detailed analysis shows that these features are helpful for ambiguous pairs like {NN,VV} and {DEC,DEG}.
UR - https://www.scopus.com/pages/publications/84876799439
M3 - 会议稿件
AN - SCOPUS:84876799439
T3 - IJCNLP 2011 - Proceedings of the 5th International Joint Conference on Natural Language Processing
SP - 1447
EP - 1451
BT - IJCNLP 2011 - Proceedings of the 5th International Joint Conference on Natural Language Processing
A2 - Wang, Haifeng
A2 - Yarowsky, David
PB - Association for Computational Linguistics (ACL)
T2 - 5th International Joint Conference on Natural Language Processing, IJCNLP 2011
Y2 - 8 November 2011 through 13 November 2011
ER -