Automatic recognition of Chinese organization name is a very difficult problem in many NLP tasks.This paper presents a new algorithm of Chinese organization name recognition based on cascaded conditional random fields.In the proposed algorithm

the person name and location name are first recognized by the lower model.The result then is passed to the high model and supports the decision of high model for recognition of the complicated organization names.We experimentally evaluate the algorithm on large-scale corpus.In open test

its recalling rate achieves 90.05% and the precision rate 88.12%.The evaluation results show that the algorithm based on cascaded conditional random fields significantly outperforms previous methods.