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Allow learning from unparsed data in tests.

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kenkeiras 2017-05-23 23:24:44 +02:00
parent 586ac76d1f
commit e6e8146478
2 changed files with 93 additions and 50 deletions
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17
naive-nlu/tree_nlu/knowledge_evaluation.py
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@ -41,10 +41,21 @@ def get_subquery_type(knowledge_base, atom):
def property_for_value(knowledge_base, value):
if 'as_property' in knowledge_base[value]:
return knowledge_base[value]['as_property']
if value in knowledge_base:
# Annotate the property as property
groups = knowledge_base[value].get('groups', set(['property']))
groups.add('property')
knowledge_base[value]['groups'] = groups
return knowledge_base[value].get('groups', set(['noun']))
# And find the property "name"
if 'as_property' in knowledge_base[value]:
return knowledge_base[value]['as_property']
return knowledge_base[value].get('groups', set(['property']))
else:
# Consider that any property is... a property
knowledge_base[value] = {'groups': {'property'}}
return {'property'}
def modifiable_property_from_property(prop, path, value):