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Change exactly one -> at most one
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@ -16,7 +16,7 @@ that predicts zero or more labels for each candidate.
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This component comes in two forms: `spancat` and `spancat_exclusive`. When you
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need to perform multi-label classification on your spans, use `spancat`. The
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`spancat` component uses a `Logistic` layer where the output class probabilities
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are independent for each class. However, if you need to predict exactly one true
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are independent for each class. However, if you need to predict at most one true
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class for a span, then use `spancat_exclusive`. It uses a `Softmax` layer and
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treats the entities as a multi-class problem.
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