| 李丽双,党延忠,廖文平,黄德根,张颖.CRF与规则相结合的中文地名识别[J].,2012,(2):285-289 |
| CRF与规则相结合的中文地名识别 |
| Recognition of Chinese location names based on CRF and rules |
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| DOI：10.7511/dllgxb201202021 |
| 中文关键词: 中文信息处理 中文地名识别 条件随机域 基于规则的后处理 |
| 英文关键词: Chinese information processing Chinese location names recognition conditional random fields rule based post processing |
| 基金项目:国家自然科学基金资助项目61173101,71031002. |
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| 摘要点击次数: 1932 |
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| 中文摘要: |
| 采用递增式学习策略优化条件随机域(conditional random fields,CRF)的特征模板以提高中文地名的识别效果,结合语言学相关知识构建规则库,以弥补机器学习模型获取知识不够全面导致召回率偏低的不足,最终实现了CRF与规则相结合的中文地名识别系统．实验结果表明,采用CRF与规则相结合的方法识别中文文本中的地名是有效的,对Bakeoff2007 NER任务的MSRA语料进行开放测试,召回率、精确率和 F 值分别为94.67%、92.35%和93.50%． |
| 英文摘要: |
| The feature templates of conditional random fields (CRF) are optimized employing incremental learning′s strategy to improve the performance of recognizing Chinese location names. Combining the linguistic knowledge,a rule base is constructed to avoid the low recall caused by the insufficient knowledge obtained from machine learning model. Finally,a system combining CRF with rules to identify location names in Chinese texts is achieved. Experimental results show that the proposed method is effective. In the MSRA corpus Bakeoff2007 NER task,the recall,precision and F value obtained by this system can reach 94.67%,92.35% and 93.50 % respectively in open tests. |
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