Description: 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
- [CRFall] - With the use of conditions to achieve th
File list (Check if you may need any files):
基于多层条件随机场的中文命名实体识别.pdf
基于层叠条件随机场的旅游领域命名实体识别.pdf
基于条件随机场的中医命名实体识别.pdf
基于条件随机场的中文命名实体识别.pdf
基于条件随机场的中文命名实体识别1.pdf
基于条件随机场的命名实体识别研究.pdf
基于条件随机场的汉语分词研究.pdf
基于条件随机场的汉语动宾搭配自动识别.pdf
条件随机场模型归一化因子的计算方法.pdf
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