首页> 外国专利> METHOD FOR CREATING A MODEL OF ANALYSIS OF DIALOGUES BASED ON ARTIFICIAL INTELLIGENCE FOR PROCESSING USER REQUESTS AND A SYSTEM USING SUCH MODEL

METHOD FOR CREATING A MODEL OF ANALYSIS OF DIALOGUES BASED ON ARTIFICIAL INTELLIGENCE FOR PROCESSING USER REQUESTS AND A SYSTEM USING SUCH MODEL

机译:基于人工智能处理用户请求的对白分析模型的建立方法及使用该模型的系统

摘要

The present technical solution, in general, relates to the field of computational data processing, in particular to machine learning methods for constructing dialogue analysis models in natural language. A computer-implemented method for creating a dialogue analysis model based on artificial intelligence for processing user requests, performed using at least one processor and containing stages at which a set of primary data is obtained, and the set includes at least text data of dialogues between users and operators, containing user requests and operators' responses; processing the obtained data set, during which a training sample is formed for an artificial neural network, containing positive and negative examples of user requests based on the analysis of the context of dialogues, and the positive examples contain a semantically related set of operator replicas in response to the user's request; performing selection and coding of the vector representation of each replica from the positive and negative examples of the training sample mentioned in the previous step; the generated training sample is used to train the model for determining the relevant replicas from the context of user calls in dialogues.
机译:通常,本技术解决方案涉及计算数据处理领域,尤其涉及用于以自然语言构造对话分析模型的机器学习方法。一种计算机实现的方法,该方法用于基于人工智能创建用于处理用户请求的对话分析模型,该对话分析模型使用至少一个处理器执行,并包含获得一组主要数据的阶段,并且该组至少包括以下之间的对话文本数据:用户和操作员,包含用户请求和操作员的响应;处理获得的数据集,在此过程中为人工神经网络形成训练样本,其中包含基于对话上下文分析的用户请求的正例和负例,而正例则包含语义相关的一组运算符副本。响应用户的请求;从上一步中提到的训练样本的正例和负例中选择和编码每个副本的矢量表示;生成的训练样本用于训练模型,以根据对话中用户调用的上下文确定相关副本。

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