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Hello
in the restaurant dataset, I find 4 tags for B-ASP and I-ASP I understand that 0 is negative, -1 is natural, 2 is positive what about 1
such as Food B-ASP 1?
and why camera dataset has just 3 labels 0 , -1, and 2?
to reformat my dataset (semeval 2016) in another language what should I follow?
The text was updated successfully, but these errors were encountered:
Also, I found in the training file for the restaurant dataset you consider just 3 labels (0.1.2), I misunderstand?
"test_f1 = f1_score(torch.argmax(test_apc_logits_all, -1).cpu(), test_polarities_all.cpu(),
labels=[0, 1, 2], average='macro')"
Hello
in the restaurant dataset, I find 4 tags for B-ASP and I-ASP I understand that 0 is negative, -1 is natural, 2 is positive what about 1
such as Food B-ASP 1?
and why camera dataset has just 3 labels 0 , -1, and 2?
to reformat my dataset (semeval 2016) in another language what should I follow?
The text was updated successfully, but these errors were encountered: