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asdc
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Bio-RoBERTime

Token Classification
Transformers
PyTorch
roberta
LABEL-0 = NONE
LABEL-1 = B-DATE
LABEL-2 = I-DATE
LABEL-3 = B-TIME
LABEL-4 = I-TIME
LABEL-5 = B-DURATION
LABEL-6 = I-DURATION
LABEL-7 = B-SET
LABEL-8 = I-SET
Model card Files
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asdc commited on
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Update README.md

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@@ -38,7 +38,7 @@ It achieves the following results on the E3C test set following the TempEval-3 e
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  | E3C | Strict | Relaxed | type |
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  |------------|:-------:|--------:|-------:|
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- | RoBERTime | 0.7606 | 0.9108 | 0.8357 |
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  | Heideltime | 0.5945 | 0.7558 | 0.6083 |
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  | Annotador | 0.6006 | 0.7347 | 0.5598 |
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  | E3C | Strict | Relaxed | type |
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  |------------|:-------:|--------:|-------:|
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+ | RoBERTime | **0.7606** | **0.9108** | **0.8357** |
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  | Heideltime | 0.5945 | 0.7558 | 0.6083 |
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  | Annotador | 0.6006 | 0.7347 | 0.5598 |
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