Abstract：A deep convolutional neural networks (DCNNs) combined with long-short term memory (LSTM) is proposed to extract the emergency events in Uyghur text. The method extracts six major feature blocks that are included in emergency events and employs word embedding. Using the DCNNs to extract the high level local features of the event sentence as the input,this method captures the sequence relations in the event sentence via LSTM,and train a Softmax classifier to accomplish the task. The accuracy of the method is 80.60%,the recall 81.39%,and the F value 80.99%.
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2018, Vol. 32 
