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Ankur Goyal 2022-09-06 11:03:39 -07:00
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@ -18,8 +18,13 @@ invoices as well as both [SQuAD2.0](https://huggingface.co/datasets/squad_v2) an
Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional
classifier head. For example, QA models often encounter this failure mode:
### Before
![Broken Address](./before.png)
### After
However this model is able to predict non-consecutive tokens and therefore the address correctly:
![Two-line Address](./after.png)