Comments (2)
LittlePea13
commented on May 29, 2024
1
Hi there, for the pre-training phase there are no entity types, since we didn't include them in the silver data process.
However, when evaluating on downstream tasks, the model is finetuned and predicts the entity type by use of special tokens. Therefore it depends on which task/dataset specifically you refer to.
For instance, in CONLL04, 4 special tokens are added, <peop>, <org>, <other> and <loc> which are used in place of the <subj>, <obj> tokens that surround decoded entities:
Line 80 in 2a89e1a
Therefore a triplet instance looks like this: <triplet> Richard C. Wallace <peop> Pittsburgh <loc> residence.
If you need REBEL to predict entity types, you would need to finetune it on your own dataset or any of the benchmarks reported in the paper.
Hope this helps!
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Buted
commented on May 29, 2024
Your explanation answers my question. Thx for your kind answer :)
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