任务介绍:
文本二分类任务。对文档进行分类,判断是否属于讽刺
需要下载BERT中文训练文件chinese_L-12_H-768_A-12
训练集:2119个样本(正例: 383, 负例: 1736)
测试集:903个样本(正例: 163, 负例: 740)
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0.9099,在测试集上的acc为0.8427
基于BERT+feature exact的方法识别汉语讽刺文本
您好,想请问下要用这个模型去识别讽刺言论,本质上还是使用中文版BERT,然后自己去标注一些数据,应用到自己的研究场景就可以吧
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