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METHOD AND SYSTEM FOR DETERMINING USER INTENT IN A SPOKEN DIALOG BASED ON TRANSFORMING AT LEAST ONE PORTION OF A SEMANTIC KNOWLEDGE GRAPH TO A PROBABILISTIC STATE GRAPH
METHOD AND SYSTEM FOR DETERMINING USER INTENT IN A SPOKEN DIALOG BASED ON TRANSFORMING AT LEAST ONE PORTION OF A SEMANTIC KNOWLEDGE GRAPH TO A PROBABILISTIC STATE GRAPH
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机译:基于将语义知识图的至少一部分转换为概率状态图的语音对话中的用户意图的方法和系统
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摘要
Systems and methods for responding to spoken language input or multi-modal input are described herein. More specifically, one or more user intents are determined or inferred from the spoken language input or multi-modal input to determine one or more user goals via a dialogue belief tracking system. The systems and methods disclosed herein utilize the dialogue belief tracking system to perform actions based on the determined one or more user goals and allow a device to engage in human like conversation with a user over multiple turns of a conversation. Preventing the user from having to explicitly state each intent and desired goal while still receiving the desired goal from the device, improves a user's ability to accomplish tasks, perform commands, and get desired products and/or services. Additionally, the improved response to spoken language inputs from a user improves user interactions with the device.
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