| CRF与规则相结合的军事命名实体识别研究 |
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| 引用本文： | 姜文志,顾佼佼,丛林虎,王彦. CRF与规则相结合的军事命名实体识别研究[J]. 指挥控制与仿真, 2011, 33(4): 13-15. DOI: 10.3969/j.issn.1673-3819.2011.04.003 |
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| 作者姓名： | 姜文志 顾佼佼 丛林虎 王彦 |
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| 作者单位： | 海军航空工程学院,山东烟台,264001 |
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| 摘 要： | 作战命令的分词是作战指令自动化生成、文图转换等各种指挥自动化技术的重要基础。在作战指令进行分词处理的过程中,军事命名实体的识别是技术难点之一。命名实体是信息的主要载体,它的识别是军事信息抽取的关键。提出了一种基于CRF模型与规则相结合的命名实体识别方法,结合基本特征与外部词典特征,提高了实体识别效率;在后期进行规则优化,最终实现高效的命名实体识别。实验证明,该方法是行之有效的。能够成功解决命名实体的自动识别问题。
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| 关 键 词： | 指挥自动化 CRF 命名实体识别 特征函数 外部词典特征 |
| 收稿时间： | 2011-03-16 |
| 修稿时间： | 2011-05-12 |
Research on CRF and Rules based Military Named Entity Recognition |
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| jiangwenzhi,gujiaojiao,conglinhu and wangyan. Research on CRF and Rules based Military Named Entity Recognition[J]. Command Control & Simulation, 2011, 33(4): 13-15. DOI: 10.3969/j.issn.1673-3819.2011.04.003 |
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| Authors: | jiangwenzhi gujiaojiao conglinhu wangyan |
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| Affiliation: | Naval Aeronautical and Astronautical University,Naval Aeronautical and Astronautical University,Naval Aeronautical and Astronautical University,Shantou Ordnance Technical Support Army |
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| Abstract: | The segmentation of the command orders is one of the basics of C3I applications such as the auto-generation of command orders, automated documents-based-military-plotting. The military named entity, as the main carrier of the information, should be the key to military information extraction. So named entity recognition (NER) plays a significant role in these applications. In this paper, a process that was composed of CRF model and Rule-based method was proposed. With external lexicon feature added and rules applied the efficiency of named entity recognition is highly improved. Experiments show that great optimization was achieved. |
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| Keywords: | C3I Conditional Random Fields Named Entity Recognition feature function external lexicons |
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