Named entity recognition is one of the fundamental problems in many natural language processing applications，such as inform ation extraction，inform ation retrieval，machine translation，shallow parsing and question answering system．This paper mainly researches the recognition of the complex location and complex organization in Chinese named entity．This paper presents a new algorithm of named entity recognition based on cascaded conditional random fields．We experimentally evaluate the algorithm on la~e-scale corpus

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