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Utilizing a dynamic memory network to track digital dialog states and generate responses

机译:利用动态内存网络跟踪数字对话状态并生成响应

摘要

The present disclosure relates to generating digital responses based on digital dialog states generated by a neural network having a dynamic memory network architecture. For example, in one or more embodiments, the disclosed system provides a digital dialog having one or more segments to a dialog state tracking neural network having a dynamic memory network architecture that includes a set of multiple memory slots. In some embodiments, the dialog state tracking neural network further includes update gates and reset gates used in modifying the values stored in the memory slots. For instance, the disclosed system can utilize cross-slot interaction update/reset gates to accurately generate a digital dialog state for each of the segments of digital dialog. Subsequently, the system generates a digital response for each segment of digital dialog based on the digital dialog state.
机译:本公开涉及基于由具有动态存储网络架构的神经网络生成的数字对话状态来生成数字响应。例如,在一个或多个实施例中,所公开的系统向对话状态跟踪神经网络提供具有一个或多个段的数字对话,该对话状态跟踪神经网络具有包括一组多个存储器插槽的动态存储器网络架构。在一些实施例中,对话状态跟踪神经网络还包括用于修改存储在存储槽中的值的更新门和重置门。例如,公开的系统可以利用跨槽交互更新/重置门来为数字对话的每个片段准确地生成数字对话状态。随后,系统基于数字对话框状态为数字对话框的每个段生成数字响应。

著录项

  • 公开/公告号GB201909236D0

    专利类型

  • 公开/公告日2019-08-14

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号GB20190009236

  • 发明设计人

    申请日2019-06-27

  • 分类号

  • 国家 GB

  • 入库时间 2022-08-21 11:43:25

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