Integrate the knowledge ASAP.

If we do this before the parsing we can leverage that semantics
in the matching phase.

naive-nlu/tree_nlu/knowledge_base.py

@@ -24,6 +24,13 @@ class KnowledgeBase(object):
         # Parse everything
         parsed_examples = []
         for example in examples:
+            # If there's parsed data, leverage it ASAP
+            if 'parsed' in example:
+                result = knowledge_evaluation.integrate_information(self.knowledge, {
+                    "parsed": example['parsed'],
+                })
+                self.act_upon(result)
+
             logging.info("\x1b[7;32m> {} \x1b[0m".format(example))
             tokens, decomposition, inferred_tree = parsing.integrate_language(self, example)
             logging.info(tokens)