def __get_scores_for_MST(self, sent, model, map_func):
score = {}
for d in xrange(1, len(sent)):
for h in xrange(len(sent)):
if h != d:
vector = make_features_for_parser(sent, h, d, map_func)
score[(h,d)] = (model.score(vector), [(h,d)])
return score
def __get_instances(self, model, conll_file, map_func):
instances = []
for sent in read_sentence(open(conll_file)):
for d in xrange(1, len(sent)):
head = sent[d].head
vectors = {}
for h in xrange(0, len(sent)):
if h != d:
vectors[h] = make_features_for_parser(sent, h, d, map_func)
instances.append((head, vectors))
model.make_weights()
return instances
