diff --git a/aspect_based_sentiment_analysis/pipelines.py b/aspect_based_sentiment_analysis/pipelines.py
index fdbdd1a..c3c1340 100755
--- a/aspect_based_sentiment_analysis/pipelines.py
+++ b/aspect_based_sentiment_analysis/pipelines.py
@@ -299,7 +299,7 @@ def postprocess(
             examples = batch_examples[start:end]
             # Examples should have the same aspect (an implicit check).
             aspect, = {e.aspect for e in examples}
-            scores = np.max([e.scores for e in examples], axis=0)
+            scores = np.max([e.scores for e in examples], axis=0).astype(float)
             scores /= np.linalg.norm(scores, ord=1)
             sentiment_id = np.argmax(scores).astype(int)
             aspect_document = CompletedSubTask(
diff --git a/aspect_based_sentiment_analysis/professors.py b/aspect_based_sentiment_analysis/professors.py
index a50b6bc..2b125b9 100755
--- a/aspect_based_sentiment_analysis/professors.py
+++ b/aspect_based_sentiment_analysis/professors.py
@@ -47,7 +47,7 @@ def review(
 
         if review.is_reference is False:
             sentiment = Sentiment.neutral
-            scores = [0, 0, 0]
+            scores = [0.0, 0.0, 0.0]
 
         prediction = PredictedExample.from_example(
             example, sentiment=sentiment, scores=scores, review=review)