%A Shi Cui, Wang Yang, Yang Bin, Yao Ye %T Identification of Non-nest Coordination for Chinese Patent Literature %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.10.12 %P 76-83 %V 30 %N 10 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3963.shtml} %8 2014-10-25 %X

[Objective] In order to improve the accuracy of identification results, according to the characteristics of coordinate structures in Chinese patent literature, this paper presents an identification method combining rules and Conditional Random Fields(CRFs). [Methods] According to the characteristics of coordinate structures, using the rules to extract the symmetrical coordinate structure. Bundling the coordinate structures, using CRFs to identify non-nest coordinate structure. On the basis of the above identification results, using the wrong driver method to deal with the identification results to get the final identification results. [Results] The experimental results show that this method can identify the non-nest coordination in the patent literature effectively and get the F value of 76.57%. [Limitations] Rules used in the experiments can be further improved. The application of the rules directly affects the identification results of coordinate structures. [Conclusions] The identification method by combining rules and CRFs is effective for non-nest coordination in Chinese patent literature.