基于混合神经网络的电力调度文本事件抽取方法

An Event Extraction Method for Power Dispatching Text Based on Hybrid Neural Network

为了提升电力调度文本在业务场景的应用效果,提出基于混合神经网络的电力调度文本事件抽取方法。以电力调度文本故障处置预案为研究对象,建立以预案触发词为中心的事件抽取模型。通过仿真案例验证了所提方法具有较好的事件抽取效果,能够提升实体和实体关系识别的准确率。

In order to improve the application effect of power dispatching text in business scenarios, a method for extracting power dispatching text events is proposed based on hybrid neural network. Taking the power dispatching text fault handling plan as the research object, an event extraction model is established centering on the trigger words of the plan. It is proved through case simulation that the proposed method can better extract the entity elements in the plan event. Compared with other methods, the accuracy of the entity recognition and entity relation recognition is improved.