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Deep convolutional neural networks for automated scoring of constructed responses

机译:深度卷积神经网络用于对构建的响应进行自动评分

摘要

Systems and methods are provided for automatically scoring a constructed response. The constructed response is processed to generate a plurality of numerical vectors that is representative of the constructed response. A model is applied to the plurality of numerical vectors. The model includes an input layer configured to receive the plurality of numerical vectors, the input layer being connected to a following layer of the model via a first plurality of connections. Each of the connections has a first weight. An intermediate layer of nodes is configured to receive inputs from an immediately-preceding layer of the model via a second plurality of connections, each of the connections having a second weight. An output layer is connected to the intermediate layer via a third plurality of connections, each of the connections having a third weight. The output layer is configured to generate a score for the constructed response.
机译:提供了用于自动计分构造的响应的系统和方法。处理构建的响应以生成代表构建的响应的多个数值向量。将模型应用于多个数值矢量。该模型包括配置为接收多个数值矢量的输入层,该输入层通过第一多个连接连接到模型的下一层。每个连接具有第一重量。节点的中间层被配置为经由第二多个连接从模型的紧接的上一层接收输入,每个连接具有第二权重。输出层通过第三组多个连接连接到中间层,每个连接具有第三重量。输出层被配置为生成所构造的响应的分数。

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