change crf extractor defaults

Author: Ghostvv

rasa/nlu/extractors/crf_entity_extractor.py

@@ -30,8 +30,6 @@
     DROPRATE,
     REGULARIZATION_CONSTANT,
     BILOU_FLAG,
-    SHARE_HIDDEN_LAYERS,
-    UNIDIRECTIONAL_ENCODER,
 )
 from rasa.utils.common import raise_warning
 from rasa.utils.tensorflow.models import RasaModel
@@ -72,13 +70,13 @@ class CRFEntityExtractor(DIETClassifier):
         # nn architecture
         # sizes of hidden layers before the embedding layer for input words
         # the number of hidden layers is thus equal to the length of this list
-        HIDDEN_LAYERS_SIZES: {TEXT: [256, 128]},
+        HIDDEN_LAYERS_SIZES: {TEXT: []},
         # training parameters
         # initial and final batch sizes - batch size will be
         # linearly increased for each epoch
         BATCH_SIZES: [64, 256],
         # how to create batches
-        BATCH_STRATEGY: "balanced",  # string 'sequence' or 'balanced'
+        BATCH_STRATEGY: "sequence",  # string 'sequence' or 'balanced'
         # number of epochs
         EPOCHS: 300,
         # set random seed to any int to get reproducible results
@@ -103,7 +101,7 @@ class CRFEntityExtractor(DIETClassifier):
         # BILOU_flag determines whether to use BILOU tagging or not.
         # More rigorous however requires more examples per entity
         # rule of thumb: use only if more than 100 egs. per entity
-        BILOU_FLAG: False,
+        BILOU_FLAG: True,
     }
     # end default properties (DOC MARKER - don't remove)