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PATE Accountant for Multi-label Classification
Hello community!
PATE's data-dependent analysis is based on teacher predictions. Is it possible to extend PATE to multi-label tasks such as part-of-speech tagging or named entity recognition, where the length of labels varies with sentence length? Fixed length sentences would also be fine.
Currently, each teacher outputs a nested list (fixed length sentences would also be fine).
Help or a hint that PATE is only possible for single-label classification would help me a lot.
Regards, Stefan