diff --git a/spacy/pipeline/spancat_exclusive.py b/spacy/pipeline/spancat_exclusive.py
index ed5f3272e..fa6d8ae60 100644
--- a/spacy/pipeline/spancat_exclusive.py
+++ b/spacy/pipeline/spancat_exclusive.py
@@ -266,23 +266,26 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
     ) -> SpanGroup:
         scores = self.model.ops.to_numpy(scores)
         indices = self.model.ops.to_numpy(indices)
-        predicted = scores.argmax(axis=1)
+        if scores.size != 0:
+            predicted = scores.argmax(axis=1)
 
-        # Remove samples where the negative label is the argmax
-        positive = numpy.where(predicted != self._negative_label)[0]
-        predicted = predicted[positive]
-        indices = indices[positive]
+            # Remove samples where the negative label is the argmax
+            positive = numpy.where(predicted != self._negative_label)[0]
+            predicted = predicted[positive]
+            indices = indices[positive]
 
-        # Sort spans according to argmax probability
-        if not allow_overlap:
-            # Get the probabilities
-            argmax_probs = numpy.take_along_axis(
-                scores[positive], numpy.expand_dims(predicted, 1), axis=1
-            )
-            argmax_probs = argmax_probs.squeeze()
-            sort_idx = (argmax_probs * -1).argsort()
-            predicted = predicted[sort_idx]
-            indices = indices[sort_idx]
+            # Sort spans according to argmax probability
+            if not allow_overlap and predicted.size != 0:
+                # Get the probabilities
+                argmax_probs = numpy.take_along_axis(
+                    scores[positive], numpy.expand_dims(predicted, 1), axis=1
+                )
+                argmax_probs = argmax_probs.squeeze()
+                sort_idx = (argmax_probs * -1).argsort()
+                predicted = predicted[sort_idx]
+                indices = indices[sort_idx]
+        else:
+            predicted = []
 
         seen = Ranges()
         spans = SpanGroup(doc, name=self.key)