diff --git a/examples/training/train_textcat.py b/examples/training/train_textcat.py
index eefae111f..7eb356100 100644
--- a/examples/training/train_textcat.py
+++ b/examples/training/train_textcat.py
@@ -1,3 +1,7 @@
+'''Train a multi-label convolutional neural network text classifier,
+using the spacy.pipeline.TextCategorizer component. The model is then added
+to spacy.pipeline, and predictions are available at `doc.cats`.
+'''
 from __future__ import unicode_literals
 import plac
 import random
@@ -31,7 +35,7 @@ def train_textcat(tokenizer, textcat,
         train_data = tqdm.tqdm(train_data, leave=False) # Progress bar
         for batch in minibatch(train_data, size=batch_sizes):
             docs, golds = zip(*batch)
-            textcat.update((docs, None), golds, sgd=optimizer, drop=0.2,
+            textcat.update(docs, golds, sgd=optimizer, drop=0.2,
                 losses=losses)
         with textcat.model.use_params(optimizer.averages):
             scores = evaluate(tokenizer, textcat, dev_texts, dev_cats)