Extract more contextual info from the words.

A property dictionary is now only to be considered equal to a word
when it shares at least one group, or neither has groups.

naive-nlu/tree_nlu/tests/basic.py

@@ -98,6 +98,12 @@ base_knowledge = {
     'fly': {
         "groups": {'verb'},
     },
+    'bus': {
+        "groups": {'noun'},
+    },
+    'run': {
+        "groups": {'verb'},
+    },
     'swim': {
         "groups": {'verb'},
     },

naive-nlu/tree_nlu/tests/gac_100.py

@@ -1,3 +1,4 @@
+import logging
 from ..knowledge_base import KnowledgeBase
 from ..utils.visuals import show_progbar
 
@@ -109,7 +110,7 @@ examples = [
     # },
     ('text_example',
      {
-         "question": "Is milk white?",
+         "question": "is milk white?",
          "affirmation": "milk is white",
          "answer": True,
      }),
@@ -662,9 +663,15 @@ base_knowledge = {
     'planet': {
         "groups": {'noun', 'group'},
     },
+    'white': {
+        "groups": {'noun', 'color', 'concept', 'property'},
+    },
     'green': {
         "groups": {'noun', 'color', 'concept'},
     },
+    'milk': {
+        "groups": {'noun'},
+    },
     'fly': {
         "groups": {'verb'},
     },
@@ -713,11 +720,12 @@ def main():
         elif example_type == 'text_example':
             show_progbar(i, total, data['affirmation'])
             affirmation = data['affirmation']
+            logging.debug("Processing affirmation: {}".format(affirmation))
+            _, _, _ = knowledge.process(affirmation)
 
             show_progbar(i, total, data['question'])
             question = data['question']
-
-            _, _, _ = knowledge.process(affirmation)
+            logging.debug("Processing question : {}".format(question))
             result, _, _ = knowledge.process(question)
 
             if result != data['answer']: