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BUILDING A GOSSIP GROUP OF DOMAIN-SPECIFIC CHATBOTS

机译:建立特定领域的闲话小组

摘要

An approach is provided for domain-specific chatbots that employ distributed natural language classifiers (NLCs). A NLC included in a first chatbot is executed, which generates a first intent of a question and a first confidence that the first intent is an actual intent of the question. Based on a determination that the first confidence does not exceed a threshold, the question is broadcasted to other chatbots. A second confidence that a second intent is an actual intent is received from a second chatbot in response to the broadcast, and is determined to exceed the threshold. An association among the question, the second chatbot, the second confidence, and the second intent is stored in a memory cache included in the first chatbot. A response to the question is generated based on the second intent. The response is presented to a user from the first chatbot.
机译:为使用分布式自然语言分类器(NLC)的特定于域的聊天机器人提供了一种方法。执行第一聊天机器人中包含的NLC,该NLC生成问题的第一意图和第一置信度,即该第一意图是问题的实际意图。基于确定第一置信度不超过阈值,将该问题广播到其他聊天机器人。响应于广播,从第二聊天机器人接收到第二意图是实际意图的第二置信度,并且确定该第二置信度超过阈值。问题,第二聊天机器人,第二置信度和第二意图之间的关联存储在第一聊天机器人中包含的内存缓存中。根据第二个意图生成对该问题的响应。响应从第一个聊天机器人呈现给用户。

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