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| 基于深层条件随机场的生物医学命名实体识别* | |
| 引用本文： | 孙晓,孙重远,任福继.基于深层条件随机场的生物医学命名实体识别*[J].模式识别与人工智能,2016,29(11):997-1008. |
| 作者姓名： | 孙晓 孙重远 任福继 |
| 作者单位： | 1.合肥工业大学 计算机与信息学院 情感计算与先进智能机器安徽省重点实验室 合肥 230009 2.Faculty of Engineering, University of Tokushima, Tokushima, Japan 770-8506 |
| 基金项目： | 国家自然科学基金重点项目(No.61432004)、安徽省自然科学基金项目(No.1508085QF119)、中国博士后科学基金项目(No.2015M580532)、模式识别国家重点实验室开放课题(No.201407345)资助 |
| 摘 要： | 生物医学命名实体识别是从生物医学文献中获取关键知识的基础与关键任务.文中提出基于深层条件随机场的生物医学命名实体识别方法，构建多层结构的深层条件随机场模型，在不同层次的特征上结合增量式学习策略，选择最优特征集.最后通过基于〈全名，缩写〉对和基于领域信息的错误纠正算法，进一步修正识别结果.在生物医学命名实体评测语料JNLPBA上的实验验证文中方法的有效性. |
| 关 键 词： | 生物医学命名实体识别 深层条件随机场 增量式学习 错误纠正算法 |
| 收稿时间： | 2016-01-15 |
Biomedical Named Entity Recognition Based on Deep Conditional Random Fields |
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| SUN Xiao,SUN Chongyuan,REN Fuji.Biomedical Named Entity Recognition Based on Deep Conditional Random Fields[J].Pattern Recognition and Artificial Intelligence,2016,29(11):997-1008. | |
| Authors: | SUN Xiao SUN Chongyuan REN Fuji |
| Affiliation: | 1.Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, School of Computer and Information, Hefei University of Technology, Hefei 230009 2.Faculty of Engineering, University of Tokushima, Tokushima, Japan 770-8506 |
| Abstract: | Biomedical named entity recognition is the fundamental and key step in bioinformatics. In this paper, a biomedical named entity recognition method based on deep conditional random fields is proposed. The deep conditional random fields of multi-layer structure are constructed by stacking the linear-chain conditional random fields and the optimal feature set is built by incremental learning strategy. Finally, error correction algorithm based on full name-abbreviation and error correction algorithm based on domain knowledge are adopted for further modifying the recognition results. Experiments are conducted on the biomedical named entity recognition corpus JNLPBA, and the results demonstrate the effectiveness of the proposed method. |
| Keywords: | Biomedical Named Entity Recognition Deep Condition Random Fields Incremental Learning Strategy Error Correction Algorithm |
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