CLARIFYING QUESTIONS FOR REWRITING AMBIGUOUS USER UTTERANCE

A method of disambiguating user queries in a multi-turn dialogue include a set of user utterances includes using a predefined language model to recognize an ambiguous entity in an unresolved user utterance from the multi-turn dialogue. The method further includes outputting a clarifying question about the ambiguous entity, and receiving a clarifying user utterance. The method further includes identifying a disambiguating entity in the clarifying user utterance. The method further includes rewriting the unresolved user utterance as a rewritten utterance that replaces the ambiguous entity with the disambiguating entity, and outputting the rewritten utterance to one or more query answering machines. 一种对多回合对话中的包括用户话语的集合的用户查询进行消除歧义的方法，包括：使用预定义语言模型来识别来自多回合对话的未消解的用户话语中的有歧义实体。该方法还包括：输出关于有歧义实体的澄清性问题，以及接收澄清性用户话语。该方法还包括：标识澄清性用户话语中的消除歧义实体。该方法还包括：将未消解的用户话语重写为用消除歧义实体替代有歧义实体的经重写话语，以及将经重写话语输出到一个或多个查询应答机器。