• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Web-age information management >Using Convex Combination Kernel Function to Extract Entity Relation in Specific Field
【24h】

Using Convex Combination Kernel Function to Extract Entity Relation in Specific Field

机译：使用凸组合核函数提取特定领域的实体关系

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Kernel method has been proven to be effective in measuring the similarity of two complex relation patterns. Aim at the optimization problem of compound kernel functions, this paper presents a method of finding the optimal convex combination kernel function, which is comprised of multiple kernel functions and needs to be optimized. After preprocessing the corpus and selecting features including lexical information, phrases syntax information and dependency information, the feature matrix was constructed by using these features. The optimal kernel function can be found in the process of mapping the feature matrix to different high-dimensional matrix, and the different classification models can be obtained. The experiments are conducted on the domain dataset from Web and the experimental results show that our approach outperforms state-of-the-art learning models such as ME or Convolution tree kernel.
机译：内核方法已被证明可有效地测量两个复杂关系模式的相似性。针对复合核函数的优化问题，提出了一种寻找最优凸组合核函数的方法，该方法由多个核函数组成，需要进行优化。在对语料库进行预处理并选择包括词汇信息，短语语法信息和依存关系信息的特征之后，使用这些特征构造特征矩阵。在将特征矩阵映射到不同的高维矩阵的过程中，可以找到最优的核函数，可以得到不同的分类模型。在Web上的域数据集上进行了实验，实验结果表明，我们的方法优于诸如ME或卷积树核之类的最新学习模型。

著录项

  • 来源
    《Web-age information management》|2016年|137-148|共12页
  • 会议地点 Nanchang(CN)
  • 作者

    Qi Shang; Jianyi Guo; Yantuan Xian; Zhengtao Yu; Yonghua Wen;

  • 作者单位

    The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

    The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China,Computer Technology Application Key Laboratory of Yunnan Province, The Institute of Intelligent Information Processing, Kunming 650500, China;

    The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China,Computer Technology Application Key Laboratory of Yunnan Province, The Institute of Intelligent Information Processing, Kunming 650500, China;

    The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

    The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Entity relation extraction; Compound kernel functions; Optimization; Convex combination of kernel functions;

    机译：实体关系提取；复合内核功能；优化;内核函数的凸组合;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号