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multi-purpose conversational agent-based deep learning techniques for processing natural language queries

机译:基于多功能会话代理的深度学习技术,用于处理自然语言查询

摘要

Patent Application: Multipurpose Conversational Agent-Based Deep Learning Techniques for Natural Language Query Processing "Systems and Methods for Multipurpose Conversational Agent-based Deep Learning Techniques for Natural Language Query Processing. Systems and Methods Traditional conversational systems provide conversational systems for processing natural language queries, but do not employ deep learning techniques and therefore cannot handle a large number of intentions, but embodiments of the present disclosure provide for multipurpose conversational agents. multipurpose for natural language techniques based on deep learning to process natural language queries by defining and logically integrating a plurality of components comprising multipurpose conversational agents, by identifying an appropriate agent to process one or more natural language queries by a high-level intention identification technique, prediction of a likely user intention, query sorting, and generation of a response set by querying or updating one or more knowledge graphs (322) .
机译:专利申请:用于自然语言查询处理的基于多功能会话代理的深度学习技术“用于自然语言查询处理的基于多功能会话代理的深度学习技术的系统和方法。传统的会话系统提供了用于处理自然语言查询的会话系统,但是不使用深度学习技术,因此不能处理大量意图,但是本公开的实施例提供了多用途对话代理基于深度学习的自然语言技术的多用途,以通过定义和逻辑集成多个语言来处理自然语言查询通过使用高级意图识别技术识别适当的代理以处理一个或多个自然语言查询,预测可能的用户意图,查询排序以及生成respo来组成包含多用途会话代理的组件通过查询或更新一个或多个知识图来设置(322)。

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