def __init__(self, etk):
ETKModule.__init__(self, etk)
sample_rules = self.etk.load_spacy_rule(
"./extraction_modules/resources/sample_rules.json")
self.sample_rule_extractor = SpacyRuleExtractor(
self.etk.default_nlp, sample_rules, "test_extractor")
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.date_extractor = DateExtractor(self.etk, 'gtd_date_parser')
self.causeex_decoder = DecodingValueExtractor(
event_to_clauseex_class_mapping,
'CauseEx Type',
default_action="delete")
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.name_extractor = GlossaryExtractor(
self.etk.load_glossary("./names.txt"),
"name_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=1)
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.mapping = GdeltMapping(json.load(open("ODP-Mappings-V3.1.json")))
# As our input files have no header, create a translation table to go from names to indices.
for i in range(0, len(self.header_fields)):
self.header_translation_table[
self.header_fields[i]] = "COL" + str(i)
# Extractors
self.date_extractor = DateExtractor(self.etk, "Date Extractor")
def __init__(self, etk):
ETKModule.__init__(self, etk)
bae = BitcoinAddressExtractor()
ce = CVEExtractor()
che = CryptographicHashExtractor()
he = HostnameExtractor()
iae = IPAddressExtractor()
ue = URLExtractor(True)
self.e_list = [bae, ce, che, he, iae, ue]
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.actor_type_decoder = DecodingValueExtractor(
self.actor_codes, 'Actor Code Decoder')
self.known_group_decoder = DecodingValueExtractor(
self.known_group_codes, 'Known Groups Decoder')
self.ethnic_group_decoder = DecodingValueExtractor(
self.known_group_codes, 'Ethnic Groups Decoder')
self.religion_decoder = DecodingValueExtractor(self.religion_codes,
'Religion Decoder')
self.country_decoder = DecodingValueExtractor(self.country_codes,
'Country Decoder')
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.date_extractor = DateExtractor(self.etk, 'ifp_date_parser')
ifp_list = open('new_ifps.jl').readlines()
self.new_ifps = dict()
for ifp in ifp_list:
j = json.loads(ifp)
self.new_ifps[j['ifp']['id']] = j['ifp']['name']
self.parsed_ifps = dict()
# self.ifps_entity_map = dict()
self.threshold = 0.86
self.nlp = spacy.load('en_core_web_lg')
self.preprocess_ifps()
self.ranking_criteria = 'SENTENCE'
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.doc_selector = DefaultDocumentSelector()
self.incomp_decoder = DecodingValueExtractor(self.incomp_type, 'Incomp Decoder')
self.int_decoder = DecodingValueExtractor(self.int_event_type, 'Int Decoder')
self.int_fatalities_decoder = DecodingValueExtractor(self.int_fatalities, 'Int Fatalities Decoder')
self.int_fatalities_size_lower_decoder = DecodingValueExtractor(self.int_fatalities_size_lower,
'Int Fatalities Lower Bound Size Decoder')
self.int_fatalities_size_upper_decoder = DecodingValueExtractor(self.int_fatalities_size_upper,
'Int Fatalities Upper Bound Size Decoder',
default_action="delete")
self.int_causeex_decoder = DecodingValueExtractor(self.int_causeex_type,
'Int CauseEx Type',
default_action="delete")
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.name_extractor = GlossaryExtractor(
self.etk.load_glossary("./extraction_modules/resources/names.txt"),
"name_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=1)
self.student_extractor = GlossaryExtractor(self.etk.load_glossary(
"./extraction_modules/resources/student.txt"),
"student_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=1)
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.my_table_extractor = TableExtractor()
self.etk.parser = jex.parse
file_name = '${GLOSSARY_PATH}/cities_ppl_25000.json'
file = open(file_name, 'r')
self.city_dataset = json.loads(file.read())
file.close()
self.city_list = list(self.city_dataset.keys())
self.my_glossary_extractor = GlossaryExtractor(
glossary=self.city_list,
extractor_name='tutorial_glossary',
tokenizer=etk.default_tokenizer,
ngrams=3,
case_sensitive=False)
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.metadata_extractor = HTMLMetadataExtractor()
self.content_extractor = HTMLContentExtractor()
self.date_extractor = DateExtractor(self.etk, 'demo_date_parser')
self.country_extractor = GlossaryExtractor(
self.etk.load_glossary("${GLOSSARY_PATH}/countries.txt"),
"country_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=3)
self.cities_extractor = GlossaryExtractor(
self.etk.load_glossary("${GLOSSARY_PATH}/cities.txt"),
"cities_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=3)
def __init__(self, etk):
ETKModule.__init__(self, etk)
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.weapon_decoder = DecodingValueExtractor(
weapons_to_clauseex_class_mapping,
'Causeex Weapon Type',
default_action='delete')
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.rule_extractor = SpacyRuleExtractor(
self.etk.default_nlp,
self.etk.load_spacy_rule("sample_rules.json"), "test_extractor")
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.inferlink_extractor = InferlinkExtractor(
InferlinkRuleSet(
InferlinkRuleSet.load_rules_file(
'../html_basic/sample_inferlink_rules.json')))
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.uri_prefix = "http://spaceaware.isi.edu/data"
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.metadata_extractor = HTMLMetadataExtractor()
self.content_extractor = HTMLContentExtractor()
def __init__(self, etk: ETK):
ETKModule.__init__(self, etk)
self.sentence_extractor = SentenceExtractor(
name="My sentence splitter")
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.date_extractor = DateExtractor(self.etk, 'acled_date_parser')
self.country_extractor = GlossaryExtractor(self.etk.load_glossary(
"${GLOSSARY_PATH}/countries.json.gz", read_json=True),
"country_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=3)
self.states_extractor = GlossaryExtractor(self.etk.load_glossary(
"${GLOSSARY_PATH}/states_usa_canada.json.gz", read_json=True),
"states_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=3)
self.cities_extractor = GlossaryExtractor(self.etk.load_glossary(
"${GLOSSARY_PATH}/cities.json.gz", read_json=True),
"cities_extractor",
self.etk.default_tokenizer,
case_sensitive=False,
ngrams=3)
self.csv_processor = CsvProcessor(etk=etk, heading_row=1)
self.interaction_decoding_dict = {
"10": "Sole Military Action",
"11": "Military Versus Military",
"12": "Military Versus Rebels",
"13": "Military Versus Political Militia",
"14": "Military Versus Communal Militia",
"15": "Military Versus Rioters",
"16": "Military Versus Protesters",
"17": "Military Versus Civilians",
"18": "Military Versus Other",
"20": "Sole Rebel Action",
"22": "Rebels Versus Rebels",
"23": "Rebels Versus Political Militia",
"24": "Rebels Versus Communal Militia",
"25": "Rebels Versus Rioters",
"26": "Rebels Versus Protesters",
"27": "Rebels Versus Civilians",
"28": "Rebels Versus Other",
"30": "Sole Political Militia Action",
"33": "Political Militia Versus Political Militia",
"34": "Political Militia Versus Communal Militia",
"35": "Political Militia Versus Rioters",
"36": "Political Militia Versus Protesters",
"37": "Political Militia Versus Civilians",
"38": "Political Militia Versus Other",
"40": "Sole Communal Militia Action",
"44": "Communal Militia Versus Communal Militia",
"45": "Communal Militia Versus Rioters",
"46": "Communal Militia Versus Protesters",
"47": "Communal Militia Versus Civilians",
"48": "Communal Militia Versus Other",
"50": "Sole Rioter Action",
"55": "Rioters Versus Rioters",
"56": "Rioters Versus Protesters",
"57": "Rioters Versus Civilians",
"58": "Rioters Versus Other",
"60": "Sole Protester Action",
"66": "Protesters Versus Protesters",
"68": "Protesters Versus Other",
"78": "Other Actor Versus Civilians",
"80": "Sole Other Action"
}
self.interaction_decoder = DecodingValueExtractor(
self.interaction_decoding_dict,
'default_decoding',
case_sensitive=True)
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.table_extractor = TableExtractor()
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.date_extractor = DateExtractor(self.etk, 'acled_date_parser')
def __init__(self, etk):
ETKModule.__init__(self, etk)
self.ee = ExcelExtractor()
