CONSTRUCTION OF A MACHINE LEARNING MODEL FOR STRUCTURED INPUTS

Embodiments for construction of a machine learning model for structured inputs by a processor. A domain knowledge may be applied to identify the one or more grammar entities. Input data may be arranged into one or more grammar entities identified using the domain knowledge. Each of the one or more grammar entities may be modularly adapted to one or more grammar entity functions to create a machinelearning model. One or more rules may be used to create each of the one or more grammar entity functions. 用于由处理器构建结构化输入的机器学习模型的实施例。可以应用领域知识来标识一个或多个语法实体。输入数据可以被布置到使用领域知识标识的一个或多个语法实体中。一个或多个语法实体中的每一个可以模块化地适配于一个或多个语法实体函数，以创建机器学习模型。一个或多个规则可以用于创建一个或多个语法实体函数中的每一个。