def get_topic_words(self):
result = []
result.extend(
tokenize_sentence(self.entity_instance.get_entity_id().lower()))
result.extend(
tokenize_sentence(self.property_def.property_name.lower()))
return result
def to_json_dict(self, is_for_training=False):
result = {
# use _question instead of question as the keyword so that they are in alphabetic order
'_question': self.question,
'answer': self.answer,
'context': self.context_list,
}
if is_for_training:
result.update({
'_question_topic_words': intersect_lists(
tokenize_sentence(self.question.lower()), self.qa_concept.get_topic_words()
),
'answer_topic_words': intersect_lists(
tokenize_sentence(self.answer.lower()), self.qa_concept.get_topic_words()
),
'qa_pairs_with_matching_score': self.qa_pairs_with_matching_score
})
return result
def to_json_dict(self, is_for_training=False):
result = {
# use _question instead of question as the keyword so that they are in alphabetic order
'_question': self.question,
'answer': self.answer,
'context': self.context_map,
}
if is_for_training:
result.update({
'_question_topic_words':
intersect_lists(tokenize_sentence(self.question),
self.qa_concept.get_topic_words()),
'answer_topic_words':
intersect_lists(tokenize_sentence(self.answer),
self.qa_concept.get_topic_words()),
'qa_pairs_with_matching_score':
self.qa_pairs_with_matching_score
})
return result
def get_topic_words(self):
result = []
result.extend(tokenize_sentence(self.entity_instance.get_entity_id().lower()))
result.extend(tokenize_sentence(self.property_def.property_name.lower()))
return result
def get_topic_words(self):
result = []
result.extend(tokenize_sentence(self.entity_instance.property_value_map['name']))
result.extend(tokenize_sentence(self.relation_def.relation_name))
return result
def get_topic_words(self):
result = []
result.extend(
tokenize_sentence(self.entity_instance.property_value_map['name']))
result.extend(tokenize_sentence(self.relation_def.relation_name))
return result
