Fusion of Long Distance Dependency Features for Chinese Named Entity Recognition Based on Markov Logic Networks

1
Fusion of Long Distance Dependency Features for
Chinese Named Entity Recognition Based on Markov
Logic Networks

• Zejian Wu, Zhengtao Yu
• ?????????????????
• www.liip.cn

2
???????

• ????????????????????????????
• MLNs (???????)?????????????????????????
• ????????,MLNs????????,???

3
???????

• HMM????????????
• linear-chain CRF?????????
• skip-chain CRF????????????,????????????????,??????
  ?????

4
Markov???

• ????????????
• ???????????,????Markov????????????
• ????????????????,???????????????????

5
??Markov????????????

• ????????
• ???????????????
• ???????
• ???????(??)????
• ????????
• ???????????
• ????
• ????

6
??Markov????????????

• ????????
• ???????(??)????
• ???????????

7
??

• ??
• ????????98?1????
• ?????????????????,??????????????????

8
????
9
????

• ??????????????,MLNs??????CRF????
• ????????????,?????????,???????????????,???????????
  ??

10
????

• ????
• ????????MLNs??,??????????????????
• ??????????
• ??????????????????,??????????????

11
????

• ZHAO Jun. A Survey on Named Entity Recognition,
  Disambiguation and Cross-Lingual Co-reference
  Resolution. Journal of Chinese Information
  Processing, 2009, 23(2).
• Jingchen Liu, Minlie Huang, Xiaoyan Zhu.
  Recognizing biomedical named entities using
  skip-chain conditional random fields. Proceeding
  BioNLP '10 Proceedings of the 2010 Workshop on
  Biomedical Natural Language Processing Pages
  10-18
• Poon and Domingos. 2006. Sound and Efficient
  Inference with Probabilistic and Deterministic
  Dependencies. Proceedings of the Twenty-First
  National Conference on Artificial Intelligence
  (pp. 458-463), Boston, MA AAAI Press.