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

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.