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SEMANTIC ROLE ANALYSIS METHOD, READABLE STORAGE MEDIUM, TERMINAL DEVICE AND APPARATUS

机译:语义角色分析方法,可读存储介质,终端设备和装置

摘要

The present application belongs to the technical field of computers, and relates in particular to a semantic role analysis method, a computer-readable storage medium, a terminal device and an apparatus. The method comprises: in the process of part-of-speech analysis, one neural network model is used for forward part-of-speech analysis, and another neural network model is used for reverse part-of-speech analysis. In the process of semantic role analysis, one neural network model is used for forward semantic role analysis, and another neural network model is used for reverse semantic role analysis. Thus, an originally complex neural network model is divided into relatively simple neural network models, and then the output of each neural network model is comprehensively processed to obtain a result. Due to the simplification of the neural network model structure, the computational load is greatly reduced and the analysis efficiency is improved.
机译:本申请属于计算机技术领域,尤其涉及一种语义角色分析方法,计算机可读存储介质,终端设备及装置。该方法包括:在词性分析过程中,将一个神经网络模型用于正向词性分析,而将另一种神经网络模型用于反向词性分析。在语义角色分析过程中,一个神经网络模型用于正向语义角色分析,另一种神经网络模型用于反向语义角色分析。因此,将最初复杂的神经网络模型分为相对简单的神经网络模型,然后对每个神经网络模型的输出进行综合处理以获得结果。由于神经网络模型结构的简化,大大减轻了计算量,提高了分析效率。

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