def right_subgraph_2_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q51993", old_entity: str = "Ebola hemorrhagic fever") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.politicians_and_leaders])
right_subgraph_2_nnqt_question_construction(generated_template)
return generated_template
def unknown_2_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q150735", old_entity: str = "Lothair I") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.politicians_and_leaders])
unknown_2_nnqt_question_construction(generated_template)
return generated_template
def unknown_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q5083", old_entity: str = "Seattle") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.cities])
unknown_nnqt_question_construction(generated_template)
return generated_template
def statement_property_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q1045", old_entity: str = "Somalia") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.cities])
statement_property_nnqt_question_construction(generated_template)
return generated_template
def statement_property_2_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q186341", old_entity: str = "The Shining") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
wikidata_ids_extractor.get_wikidata_person_types())
statement_property_2_nnqt_question_construction(generated_template)
return generated_template
def right_subgraph_entity_example_generation(current_uid: int, question_template: Dict[str, Any], generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q159646", old_entity: str = "Albert I, Prince of Monaco") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
sparql_query = generated_template['sparql_wikidata']
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.politicians_and_leaders])
right_subgraph_nnqt_question_construction(generated_template)
return generated_template
def rank_2_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q2736",
old_entity: str = "association football") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.sports])
return generated_template
def rank_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q11387",
old_entity: str = "open cluster") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
wikidata_ids_extractor.get_wikidata_person_types())
rank_nnqt_question_construction(generated_template)
return generated_template
def simple_question_left_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q127998",
old_entity: str = "Mahmoud Abbas") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.politicians_and_leaders])
simple_question_left_nnqt_question_construction(generated_template)
return generated_template
def two_intentions_right_subgraph_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q105460",
old_entity: str = "John Denver") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
wikidata_ids_extractor.get_wikidata_person_types())
two_intentions_right_subgraph_nnqt_question_construction(
generated_template)
return generated_template
def string_matching_type_relation_contains_word_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q11514315",
old_entity: str = "historical period") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
[wikidata_ids_extractor.DataType.politicians_and_leaders])
string_matching_type_relation_contains_word_nnqt_question_construction(
generated_template)
return generated_template
def center_2_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q81066",
old_entity: str = "United Nations Secretary-General"
) -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
wikidata_ids_extractor.get_wikidata_person_types())
center_2_nnqt_question_construction(generated_template)
return generated_template
def string_matching_simple_contains_word_entity_example_generation(
current_uid: int,
question_template: Dict[str, Any],
generated_questions: List[Dict[str, Any]],
old_entity_id: str = "Q334166",
old_entity: str = "mode of transport") -> Dict[str, Any]:
generated_template = deepcopy(question_template)
questions_generator.entity_example_generation_common_part(current_uid, generated_template, generated_questions, old_entity_id, old_entity, \
wikidata_ids_extractor.get_wikidata_not_person_types())
string_matching_simple_contains_word_nnqt_question_construction(
generated_template)
return generated_template
