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NEURAL REPRESENTATION OF AUTOMATED CONVERSATIONAL AGENTS (CHATBOTS)

机译:自动会话代理程序(神经网络)的神经表示

摘要

Embodiments of the present systems and methods may provide techniques by which bots may be analyzed using improved representations of bot structure and a means of assessing conversational quality that may provide improved efficiency. For example a method may comprise training, at a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, a neural network model to learn representations that capture characteristics of the graphs of chatbots, wherein the captured characteristics include at least a content-based representation based on user utterances that are relevant to the nodes and based on the chatbot response for the nodes.
机译:本系统和方法的实施例可以提供可以通过使用机器人结构的改进表示和可以提供改进效率的评估会话质量的手段来分析机器人的技术。例如,一种方法可以包括在包括处理器的计算机系统上训练神经网络模型以学习捕获表示图的特征的表示的表示,该神经网络模型可以被处理器访问,并且该计算机程序指令可以被存储在该存储器中并且可以由处理器执行。聊天机器人,其中捕获的特征至少包括基于与节点相关的用户话语以及基于节点的聊天机器人响应的基于内容的表示。

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