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hi, too long time ago i almost forgot but think the idea is to convert classification problem into matching problem so that you can get more training data. if you would concat k different labels with the sentence, you will have k times the training sample. the one concat with real label of course will trained to have max score. again, recommend to read protonet papers
Thanks for the great work! In the file batch_generator.py line 37, I noticed you have:
X = [self.inverse_map[y] + '=' + x for x, y in list(zip(X, Y))]
I'm wondering why you want to add
self.inverse_map[y] + '='
to the text examples, and if that would leak label information in training? Thanks!The text was updated successfully, but these errors were encountered: