TY - GEN
T1 - Japanese NER post-processing based on improved TBL method
AU - Zheng, Dequan
AU - Wang, Jing
AU - Zhao, Tiejun
PY - 2008
Y1 - 2008
N2 - A TBL based post-processing approach is proposed for Japanese Named Entity Recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error-driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could be used in special domains perfectly for its learning domain linguistic knowledge automatically. The learnt rules could not go over fit as well. The experimental results show that a high result can be achieved in precision for Japanese NER.
AB - A TBL based post-processing approach is proposed for Japanese Named Entity Recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error-driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could be used in special domains perfectly for its learning domain linguistic knowledge automatically. The learnt rules could not go over fit as well. The experimental results show that a high result can be achieved in precision for Japanese NER.
UR - https://www.scopus.com/pages/publications/58049215116
U2 - 10.1109/FSKD.2008.372
DO - 10.1109/FSKD.2008.372
M3 - 会议稿件
AN - SCOPUS:58049215116
SN - 9780769533056
T3 - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
SP - 161
EP - 165
BT - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
T2 - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Y2 - 18 October 2008 through 20 October 2008
ER -