首页> 外国专利> SYSTEM AND METHOD FOR SELECTING DATA SAMPLE GROUPS FOR MACHINE LEARNING OF CONTEXT OF DATA FIELDS FOR VARIOUS DOCUMENT TYPES AND/OR FOR TEST DATA GENERATION FOR QUALITY ASSURANCE SYSTEMS

SYSTEM AND METHOD FOR SELECTING DATA SAMPLE GROUPS FOR MACHINE LEARNING OF CONTEXT OF DATA FIELDS FOR VARIOUS DOCUMENT TYPES AND/OR FOR TEST DATA GENERATION FOR QUALITY ASSURANCE SYSTEMS

机译:为质量保证系统的各种文档类型和/或测试数据生成选择数据样本上下文以进行机器学习的系统和方法

摘要

A method and system learns new forms to be incorporated into an electronic document preparation system. The method and system receive form data related to a new form having a plurality of data fields that expect data values based on specific functions. The method and system gather training set data including previously filled forms having completed data fields corresponding to the data fields of the new form. The method and system group the training set data into groups and sample the groups. The method and system utilize machine learning in conjunction with the sampled training set data to identify an acceptable function for each of the data fields of the new form. The grouped and sampled training set data can also be passed to a quality assurance system.
机译:一种方法和系统学习要结合到电子文档准备系统中的新表格。该方法和系统接收与具有多个数据字段的新表单有关的表单数据,该多个数据字段期望基于特定功能的数据值。该方法和系统收集训练集数据,该训练集数据包括先前填写的表格,该表格具有与新表格的数据字段相对应的完整数据字段。该方法和系统将训练集数据分组,并对该组进行采样。该方法和系统利用机器学习结合采样的训练集数据来为新表格的每个数据字段识别可接受的功能。分组和采样的训练集数据也可以传递到质量保证系统。

著录项

  • 公开/公告号EP3485442A1

    专利类型

  • 公开/公告日2019-05-22

    原文格式PDF

  • 申请/专利权人 INTUIT INC.;

    申请/专利号EP20170828178

  • 发明设计人 UNSAL CEM;

    申请日2017-06-30

  • 分类号G06Q10/10;G06N99;G06F17/27;

  • 国家 EP

  • 入库时间 2022-08-21 12:27:32

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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