shijing001 / text_classifiers Goto Github PK

Hello,
Congratulations on putting together such a nice tool. I read the paper, and while I am just a beginner in this field, I am quite excited to try LESA - BERT on some of the patient messages in developing countries.

Sorry for being a noob - can you point me to the pre-trained weights for LESA-BERT? I couldn't find them in the repository. I saw that you couldn't share the data because of privacy issues, so I am hoping that you could share the model trained on your data.

Hi!

Thank you for making the tool available!
After reading the code, I have to say that I'm a little bit confused as I'm not seeing any label keywords/phrases in the input part, only the label to which the sample actually belongs. Could you please clarify for me in which part do you actually define the keywords for each of the labels?

Thank you!

你好，看了代码，没有发现输入部分有label的info，只有样本实际所属于的label，那怎么用label embedding，请明确下，谢谢！