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使用了一个nlu比赛基于语义槽的数据集,收集了一些其它的数据集用于扩展,尝试使用bilstm和transformer训练语义分类

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nlu

create_data.py 读取train.txt 然后替换掉槽里面的内容,添加内容。oppo语料集在天池下载,有点大。可以生成大多数人名,地名,美食,医疗,信息等。 nlu_train_bilstm.py 和nlu_transformer.py 尝试使用bilstm 和transformer 两种方法训练分类

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使用了一个nlu比赛基于语义槽的数据集,收集了一些其它的数据集用于扩展,尝试使用bilstm和transformer训练语义分类

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