Obtaining Predicted NER Results for a Series of Sentences with DecomposedMetaNER about vert-papers HOT 3 CLOSED

Thank you for your attention to our project.
Previously, in order to adapt to the Few-NERD benchmark, the code did not have interactive processing logic, but you can get the results of all predicted entities in the preds of the function in https://github.com/microsoft/vert-papers/blob/master/papers/DecomposedMetaNER/learner.py#L759, but note that the index here refers to the index after tokenization.

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Thanks for your answer! I will make my own modifications on this code for my research.

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Hello, I have a question regarding seeing the output of the model once it is trained. When @iofu728 you refer to the variable preds, do you mean we should print out the results of the variable? Or do you otherwise mean that the is_debug flag should be active and that you have to look at the e.pklfile?

I can also see that the model once trained outputs files like all_test_preds.pkl. How could one see what the target and prediction refers to in real text?

Thank you for your time and the interesting project :)

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