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Contents
# coding=utf-8
__author__ = 'Josu Bermudez <josu.bermudez@deusto.es>'
from ..lambdas import list_checker
no_ner = "O"
other = "MISC"
person = list_checker(("PERSON", "PER"))
organization = list_checker(("ORG", "ORGANIZATION"))
# NE types that denotes mention
mention_ner = list_checker(("PERSON", "NORP", "FACILITY", "ORGANIZATION", "GPE", "NML", "LOCATION", "PRODUCT", "EVENT", "WORK OF ART",
"LAW", "LANGUAGE", "DATE", "TIME"))
# NE types that must be filtered from mention candidates
no_mention_ner = list_checker(("PERCENT", "MONEY", "QUANTITY", "CARDINAL","ORDINAL", "DATE"))
# NE tags that denotes animacy
inanimate = list_checker(("FACILITY", "NORP", "LOCATION", "LOC", "PRODUCT", "EVENT", "ORGANIZATION", "ORG", "WORK OF ART", "LAW",
"LANGUAGE", "DATE", "TIME", "PERCENT", "MONEY", "NUMBER", "QUANTITY", "ORDINAL", "CARDINAL", "MISC",
"VEH", "FAC", "GPE", "WEA", "NML"))
animate = person
# NE tags for persons
all = lambda x: mention_ner(x) or no_mention_ner(x)
Version data entries
5 entries across 5 versions & 1 rubygems