def _process_exp_sense(self, articles, which='test'):
exp_feat_name = FILE_PATH + '/../tmp/exp.feat'
expParser = Explicit()
exp_sense_file = codecs.open(exp_feat_name, 'w', 'utf-8')
for art in articles:
for rel in art.exp_relations:
expParser.print_features(rel, ['xxxxx'], which, exp_sense_file)
exp_sense_file.close()
exp_pred = FILE_PATH + '/../tmp/exp.pred'
Corpus.test_with_opennlp(exp_feat_name, expParser.model_file, exp_pred)
exp_res = [l.strip().split()[-1] for l in codecs.open(exp_pred, 'r', 'utf-8')]
rid = 0
for art in articles:
for rel in art.exp_relations:
pred_sense = exp_res[rid]
rel.sense = [pred_sense]
rid += 1
def _process_exp_sense(self, articles, which='test'):
exp_feat_name = FILE_PATH + '/../tmp/exp.feat'
expParser = Explicit()
exp_sense_file = codecs.open(exp_feat_name, 'w', 'utf-8')
for art in articles:
for rel in art.exp_relations:
expParser.print_features(rel, ['xxxxx'], which, exp_sense_file)
exp_sense_file.close()
exp_pred = FILE_PATH + '/../tmp/exp.pred'
Corpus.test_with_opennlp(exp_feat_name, expParser.model_file, exp_pred)
exp_res = [
l.strip().split()[-1] for l in codecs.open(exp_pred, 'r', 'utf-8')
]
rid = 0
for art in articles:
for rel in art.exp_relations:
pred_sense = exp_res[rid]
rel.sense = [pred_sense]
rid += 1
def _process_exp_sense(self, articles, which='test'):
exp_feat_name = FILE_PATH + '/../tmp/exp.feat'
expParser = Explicit()
exp_sense_file = open(exp_feat_name, 'w')
for art in articles:
for rel in art.exp_relations:
expParser.print_features(rel, ['Conjunction'], which, exp_sense_file)
exp_sense_file.close()
exp_vec = FILE_PATH + '/../tmp/exp.vec'
exp_pred = FILE_PATH + '/../tmp/exp.pred'
# Corpus.test_with_svm(exp_feat_name, expParser.feat_map_file, exp_vec, expParser.model_file, exp_pred)
Corpus.test_with_opennlp(exp_feat_name, expParser.model_file, exp_pred)
exp_res = [LABEL_SENSES_MAP[l.strip().split()[-1]] for l in open(exp_pred, 'r')]
rid = 0
for art in articles:
for rel in art.exp_relations:
pred_sense = exp_res[rid]
rel.sense = [pred_sense]
rid += 1
