def load_imported_data_for_antecedent(fname=AUTO_PARSE_NPY_DATA):
ac = AntecedentClassifier(0, 14, 15, 19, 20, 24)
print 'Loading NPY data from this file:', fname
data = np.load(fname)
ac.sentences = data[0]
ac.train_triggers = data[1]
ac.val_triggers = data[2]
ac.test_triggers = data[3]
for i, sentwords in enumerate(data[4]):
ac.sentences[i].words = sentwords
return ac
def load_imported_data_for_antecedent(fname=AUTO_PARSE_NPY_DATA):
ac = AntecedentClassifier(0, 14, 15, 19, 20, 24)
print 'Loading NPY data from this file:',fname
data = np.load(fname)
ac.sentences = data[0]
ac.train_triggers = data[1]
ac.val_triggers = data[2]
ac.test_triggers = data[3]
for i,sentwords in enumerate(data[4]):
ac.sentences[i].words = sentwords
return ac
if 'types' in argv:
ac = None
if mrg:
ac = load_imported_data_for_antecedent(
fname=GOLD_PARSE_FULL_NPY_DATA)
ac, prediction_list = cross_validate(auto_parse=not mrg,
classifier=ac,
baseline='baseline' in argv)
results_by_type(ac, prediction_list)
# log_results(results_lst, fname=results_save)
if 'ablate' in argv:
ablation_study(auto_parse=not mrg, exclude=True)
if 'bos' in argv:
bos_compare()
if 'bos_spen' in argv:
bos_spen_split()
if 'debug' in argv:
ac = load_imported_data_for_antecedent(fname=save_file)
ac.train_triggers = ac.train_triggers[0:2]
ac.val_triggers = ac.val_triggers[0:2]
ac.test_triggers = ac.test_triggers[0:2]
ac.generate_possible_ants(
['VP', wc.is_predicative, wc.is_adjective, wc.is_verb])
ac.build_feature_vectors(debug=True)
save_imported_data_for_antecedent(ac, fname=save_file)
if 'types' in argv:
ac = None
if mrg:
ac = load_imported_data_for_antecedent(fname=GOLD_PARSE_FULL_NPY_DATA)
ac, prediction_list = cross_validate(auto_parse=not mrg, classifier=ac, baseline='baseline' in argv)
results_by_type(ac, prediction_list)
# log_results(results_lst, fname=results_save)
if 'ablate' in argv:
ablation_study(auto_parse=not mrg, exclude=True)
if 'bos' in argv:
bos_compare()
if 'bos_spen' in argv:
bos_spen_split()
if 'debug' in argv:
ac = load_imported_data_for_antecedent(fname=save_file)
ac.train_triggers = ac.train_triggers[0:2]
ac.val_triggers = ac.val_triggers[0:2]
ac.test_triggers = ac.test_triggers[0:2]
ac.generate_possible_ants(['VP', wc.is_predicative, wc.is_adjective, wc.is_verb])
ac.build_feature_vectors(debug=True)
