任务介绍:
文本二分类任务。对文档进行分类,判断是否属于政治上的出访类事件。
需要下载BERT中文训练文件chinese_L-12_H-768_A-12。
训练集:250个样本,测试集:50个样本
BERT作为特征提取,模型采用DNN. 直接运行model_train.py即可。
- 在训练集的acc为0.9680,在测试集上的acc为0.920.
- model_predict.py中的预测语句预测全部正确。
This project forked from percent4/bert_doc_binary_classification
文本二分类任务,是否文档是否属于政治上的出访类事件,利用BERT提取特征,模型采用简单的DNN。
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