Does T5 support sequence labeling (like NER) tasks? about text-to-text-transfer-transformer HOT 5 CLOSED

We really can't provide support of the kind "T5 didn't work well for me on task X". Whether it worked or not will depend on a lot of factors (the dataset itself, the size of the dataset, the amount of fine-tuning, the chosen task format, etc). I can tell you at least that we have had great success applying T5 to NER tasks.

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T5 supports any task which can be cast as a text-to-text task, and I would argue NER can be cast as a text-to-text task something like so:
Input: "Jim bought 300 shares of Acme Corp. in 2006."
Target: "Jim [Person] Acme Corp. [Organization] 2006 [Time]"
or something. We haven't tried T5 on any NER tasks but I would be surprised if this didn't work since other span-prediction tasks (like SQuAD) work well.

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@Morizeyao did you try T5 with NER? Did you get good results?

We are trying to finetune T5 with NER downstream task and the results are not really good.

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@craffel I have the same question than @Guillem96 and that issue does not seem to be resolved yet. Would you mind reopening this ticket?

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We really can't provide support of the kind "T5 didn't work well for me on task X". Whether it worked or not will depend on a lot of factors (the dataset itself, the size of the dataset, the amount of fine-tuning, the chosen task format, etc). I can tell you at least that we have had great success applying T5 to NER tasks.

@craffel , would you have links to some papers / examples where T5 was applied to BIO-labeling type tasks or token-level binary classification tasks, which could be used for inspiration? Thanks in advance!

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