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1.发明公开公开(公告)号：US20240338528A1
公开(公告)日：2024-10-10
申请号：US18296948
申请日：2023-04-06
摘要： In some embodiments, intent labeling may be facilitated for machine learning model training. In some embodiments, a set of natural language inputs may be obtained. Based on an action set, content related to intent labeling may be presented on a user interface. Based on an entity hierarchy and user selection of an agent-side action of the action set, a first entity subset of entities associated with the agent-side action may be presented on the user interface. Based on the entity hierarchy and user selection of a first entity from the first entity subset, a second entity subset of entities associated with the first entity may be presented on the user interface. Based on user selection of a second entity from the second entity subset, the natural language input may be associated with an ordered intent label that includes the agent-side action, the first entity, and the second entity.
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公开(公告)号：US20240095457A1
公开(公告)日：2024-03-21
申请号：US18513406
申请日：2023-11-17
IPC分类号： G06F40/30 , G06F18/2137 , G06N3/04 , G06N20/20
CPC分类号： G06F40/30 , G06F18/21375 , G06N3/04 , G06N20/20
摘要： Described are methods and systems are for generating dynamic conversational queries. For example, as opposed to being a simply reactive system, the methods and systems herein provide means for actively determining a user's intent and generating a dynamic query based on the determined user intent. Moreover, these methods and systems generate these queries in a conversational environment.
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