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Generation and application of universal hypothesis ranking model

机译:普遍假设排序模型的产生与应用

摘要

Non-limiting examples of the present disclosure describe generation and application of a universal hypothesis ranking model to rank/re-re-rank dialog hypotheses. An input is received through a user interface of an application for dialog processing. A plurality of dialog hypotheses are generated based on input understanding processing of the received input. The plurality of dialog hypotheses are ranked using a universal hypothesis ranking model that is applicable to a plurality of languages and locales. The ranking of the plurality of dialog hypotheses comprises using the universal hypothesis ranking model to analyze language independent features of the plurality of dialog hypotheses for policy determination. Other examples are also described including examples directed to generation of the universal hypothesis ranking model.
机译:本公开的非限制性示例描述了通用假设排序模型的生成和应用以对对话假设进行排序/重新排序。通过用于对话处理的应用程序的用户界面接收输入。基于对接收到的输入的输入理解处理,生成多个对话假设。使用适用于多种语言和语言环境的通用假设排序模型对多个对话假设进行排序。多个对话假设的排名包括使用通用假设排名模型来分析多个对话假设的独立于语言的特征以用于策略确定。还描述了其他示例,包括针对通用假设排名模型的生成的示例。

著录项

  • 公开/公告号US10339916B2

    专利类型

  • 公开/公告日2019-07-02

    原文格式PDF

  • 申请/专利权人 MICROSOFT TECHNOLOGY LICENSING LLC;

    申请/专利号US201514841156

  • 发明设计人 RUHI SARIKAYA;PAUL ANTHONY CROOK;

    申请日2015-08-31

  • 分类号G10L15;G10L15/06;G10L15/18;G06N3;G06F17/27;

  • 国家 US

  • 入库时间 2022-08-21 12:14:24

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