| 基于实体词典与机器学习的基因命名实体识别 |
| 投稿时间：2015-11-13 点此下载全文 |
| 引用本文：夏光辉,李军莲,阮学平.基于实体词典与机器学习的基因命名实体识别[J].医学信息学杂志,2015,36(12):54-60 |
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| 基金项目:国家科技支撑计划项目(项目编号:2011BAH10B05)。 |
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| 中文摘要:将实体词典以特征的形式引入到机器学习模型中,提出一种基于实体词典与机器学习的基因命名实体识别方法,在GENIA 3.02语料上进行实验。测试结果表明引入实体词典特征后,在获得较高实体识别准确率的同时,优化CRFs识别模型的时间复杂度,提高系统识别效率。 |
| 中文关键词:实体词典 机器学习 基因命名实体 命名实体识别 |
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| Gene Named Entity Recognition Based on Entity Dictionary and Machine Learning |
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| Abstract:By introducing the entity dictionary into the model of machine learning in the form of characteristics,this article proposes a method of gene-named entity recognition based on entity dictionary and machine learning and experiments on corpus GENIT 3.02.As indicated by the test results,after the characteristics of the entity dictionary are introduced,while a higher accuracy rate of entity recognition is obtained,the time complexity of CRFs recognition model is optimized and the system's recognition efficiency is enhanced. |
| keywords:Entity dictionary Machine learning Gene named entity Named entity recognition |
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