首页> 外国专利> REQUEST REPHRASING SYSTEM, METHOD FOR TRAINING OF REQUEST REPHRASING MODEL AND OF REQUEST DETERMINATION MODEL, AND CONVERSATION SYSTEM

REQUEST REPHRASING SYSTEM, METHOD FOR TRAINING OF REQUEST REPHRASING MODEL AND OF REQUEST DETERMINATION MODEL, AND CONVERSATION SYSTEM

机译:请求重述系统,请求重述模型和请求确定模型的训练方法以及会话系统

摘要

Provided is a request rephrasing system 120 with which a conversation system can flexibly respond to various requests having different manners of expression, said request rephrasing system 120 comprising: a pre-processing unit 130 for converting a user input 56 into a word vector sequence; and a neural rephrasing model 94, pre-learned by machine learning, for receiving the word vector sequence as input and rephrasing the request represented by the word vector sequence as a request which a question/response device 122 has a higher probability of being able to respond to than before the rephrasing thereof. The system may involve determining whether the user input 56 is a request for the preprocessing and carrying out the rephrasing of the request only if the user input 56 is determined to be a request. In addition, the system may involve classifying which request classification the inputted request belongs to using a classification model 98 and inputting said classification into the neural rephrasing model 94 as one feature in the rephrasing.
机译:提供一种请求重述系统120,会话系统可以利用该请求重述系统120灵活地响应具有不同表达方式的各种请求,所述请求重述系统120包括:预处理单元130,用于将用户输入56转换为单词向量序列;通过机器学习预先学习的神经重述模型94,用于接收词向量序列作为输入,并将由词向量序列表示的请求作为请求重述,问题/响应设备122具有较高的概率比措辞更早做出回应。该系统可以包括:确定用户输入56是否是对预处理的请求,以及仅在确定用户输入56为请求时才执行该请求的改写。另外,该系统可以包括使用分类模型98对输入的请求属于哪个请求分类进行分类以及将所述分类输入到神经重述模型94中作为重述中的一个特征。

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