def _load_data(self):
"""Loads data for SRL"""
# load boundary identification network and reader
md_boundary = Metadata.load_from_file('srl_boundary')
self.boundary_nn = load_network(md_boundary)
self.boundary_reader = create_reader(md_boundary)
self.boundary_itd = self.boundary_reader.get_inverse_tag_dictionary()
# same for arg classification
md_classify = Metadata.load_from_file('srl_classify')
self.classify_nn = load_network(md_classify)
self.classify_reader = create_reader(md_classify)
self.classify_itd = self.classify_reader.get_inverse_tag_dictionary()
# predicate detection
md_pred = Metadata.load_from_file('srl_predicates')
self.pred_nn = load_network(md_pred)
self.pred_reader = create_reader(md_pred)
def _load_data(self):
"""Loads data for SRL"""
# load boundary identification network and reader
md_boundary = Metadata.load_from_file('srl_boundary')
self.boundary_nn = load_network(md_boundary)
self.boundary_reader = create_reader(md_boundary)
self.boundary_itd = self.boundary_reader.get_inverse_tag_dictionary()
# same for arg classification
md_classify = Metadata.load_from_file('srl_classify')
self.classify_nn = load_network(md_classify)
self.classify_reader = create_reader(md_classify)
self.classify_itd = self.classify_reader.get_inverse_tag_dictionary()
# predicate detection
md_pred = Metadata.load_from_file('srl_predicates')
self.pred_nn = load_network(md_pred)
self.pred_reader = create_reader(md_pred)
def _load_data(self):
"""Loads data for NER"""
md = Metadata.load_from_file('ner')
self.nn = load_network(md)
self.reader = create_reader(md, tagging=True)
self.itd = self.reader.get_inverse_tag_dictionary()
def _load_data(self):
"""Loads data for POS"""
md = Metadata.load_from_file('pos')
self.nn = load_network(md)
self.reader = create_reader(md)
self.itd = self.reader.get_inverse_tag_dictionary()
def _load_data(self):
"""Loads data for POS"""
md = Metadata.load_from_file('pos')
self.nn = load_network(md)
self.reader = create_reader(md)
self.itd = self.reader.get_inverse_tag_dictionary()
def _load_data(self):
"""Loads data for NER"""
md = Metadata.load_from_file('ner')
self.nn = load_network(md)
self.reader = create_reader(md, tagging=True)
self.itd = self.reader.get_inverse_tag_dictionary()
