diff --git a/examples/training/train_textcat.py b/examples/training/train_textcat.py
index 033cc50a9..eefae111f 100644
--- a/examples/training/train_textcat.py
+++ b/examples/training/train_textcat.py
@@ -28,8 +28,8 @@ def train_textcat(tokenizer, textcat,
     batch_sizes = compounding(4., 128., 1.001)
     for i in range(n_iter):
         losses = {}
-        for batch in minibatch(tqdm.tqdm(train_data, leave=False),
-                               size=batch_sizes):
+        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,
                 losses=losses)
@@ -70,7 +70,7 @@ def load_data():
 
     texts, labels = zip(*train_data)
     cats = [(['POSITIVE'] if y else []) for y in labels]
-    
+
     split = int(len(train_data) * 0.8)
 
     train_texts = texts[:split]
@@ -104,7 +104,6 @@ def main(model_loc=None):
         doc = nlp(u'This movie sucked!')
         print(doc.cats)
 
- 
 
 if __name__ == '__main__':
     plac.call(main)
diff --git a/spacy/gold.pyx b/spacy/gold.pyx
index aa5daa41d..39951447c 100644
--- a/spacy/gold.pyx
+++ b/spacy/gold.pyx
@@ -483,7 +483,7 @@ cdef class GoldParse:
         return not nonproj.is_nonproj_tree(self.heads)
 
 
-def biluo_tags_from_offsets(doc, entities):
+def biluo_tags_from_offsets(doc, entities, missing='O'):
     """Encode labelled spans into per-token tags, using the Begin/In/Last/Unit/Out
     scheme (BILUO).
 
@@ -535,7 +535,7 @@ def biluo_tags_from_offsets(doc, entities):
             if i in entity_chars:
                 break
         else:
-            biluo[token.i] = 'O'
+            biluo[token.i] = missing
     return biluo
 
 
diff --git a/spacy/syntax/ner.pyx b/spacy/syntax/ner.pyx
index 023707aaa..d15de0181 100644
--- a/spacy/syntax/ner.pyx
+++ b/spacy/syntax/ner.pyx
@@ -141,6 +141,23 @@ cdef class BiluoPushDown(TransitionSystem):
                     entities[(start, end, label)] += prob
         return entities
 
+    def get_beam_parses(self, Beam beam):
+        parses = []
+        probs = beam.probs
+        for i in range(beam.size):
+            stcls = <StateClass>beam.at(i)
+            if stcls.is_final():
+                self.finalize_state(stcls.c)
+                prob = probs[i]
+                parse = []
+                for j in range(stcls.c._e_i):
+                    start = stcls.c._ents[j].start
+                    end = stcls.c._ents[j].end
+                    label = stcls.c._ents[j].label
+                    parse.append((start, end, self.strings[label]))
+                parses.append((prob, parse))
+        return parses
+
     cdef Transition lookup_transition(self, object name) except *:
         cdef attr_t label
         if name == '-' or name == None: