CONTEXT-SENSITIVE GENERATION OF CONVERSATIONAL RESPONSES
摘要
Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.
申请公布号
WO2016195912(A1)
申请公布日期
2016.12.08
申请号
WO2016US31082
申请日期
2016.05.06
申请人
MICROSOFT TECHNOLOGY LICENSING, LLC
发明人
GALLEY, Michel;SORDONI, Alessandro;BROCKETT, Christopher John;GAO, Jianfeng;DOLAN, William Brennan;JI, Yangfeng;AULI, Michael;MITCHELL, Margaret Ann;NIE, Jian-Yun