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View Code? Open in Web Editor NEWcode for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"
License: MIT License
code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"
License: MIT License
I tried to mix some negative samples when training my classifier under your framework.
However, the validation accuracy drops from 94% to 61%.
Should I never do that?
Is it possible to modify the loss function to cope with negative samples?
Dear leishu:
When I reproduce the code using pytorch, I find that the result of 20news is lower under the 25% setting. I guess it is caused by inconsistent data processing,so I hope to know the details of the data processing of 20news.
Thank you !
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