def __init__(self, answer, i):
Feature.set_type(self, clas + rel)
Feature.set_name(self, 'Subject match')
sentence = answer.sources[i].sentence.split(':')[-1]
q = answer.q.root_verb[0]
qsubj = get_subj(q)
ssubj = get_subj(list(nlp(sentence).sents)[0].root)
if qsubj is None or ssubj is None:
Feature.set_value(self, 0.)
return
info = 'Qsubject=%s, Ssubject=%s' % (qsubj.text, ssubj.text)
Feature.set_info(self, info)
if qsubj.lower_ in ssubj.lower_ or ssubj.lower_ in qsubj.lower_:
Feature.set_value(self, 1.)
else:
Feature.set_value(self, 0.)
def __init__(self, answer, i):
Feature.set_type(self, clas + rel)
Feature.set_name(self, 'Subject match')
sentence = answer.sources[i].sentence.split(':')[-1]
q = answer.q.root_verb[0]
qsubj = get_subj(q)
ssubj = get_subj(list(nlp(sentence).sents)[0].root)
if qsubj is None or ssubj is None:
Feature.set_value(self, 0.)
return
info = 'Qsubject=%s, Ssubject=%s' % (qsubj.text, ssubj.text)
Feature.set_info(self, info)
if qsubj.lower_ in ssubj.lower_ or ssubj.lower_ in qsubj.lower_:
Feature.set_value(self, 1.)
else:
Feature.set_value(self, 0.)
def __init__(self, answer, i):
Feature.set_type(self, clas)
Feature.set_name(self, 'Match score')
sentence = answer.sources[i].sentence
regex = re.match('.*?(\d+)[-](\d+).*', sentence) # (\d+)\W(\d+) only for multiple scores detection
if regex:
s1 = regex.group(1)
s2 = regex.group(2)
sentence_kw = extract_from_string(sentence)
q = answer.q.root_verb[0]
qsubj = get_subj(q)
if qsubj is None:
Feature.set_info(self, 'no q subj')
Feature.set_value(self, 0.)
return
qsubj = qsubj.text
result = 1
if int(s1) <= int(s2):
result = -1
try:
hs = load(sentence, sentence_kw, s1 + '-' + s2)
score = patterns_string(sentence, qsubj, s1 + '-' + s2, answer.q.searchwords)
if score == 0:
score = float(patterns(hs, qsubj))
Feature.set_value(self, score * result)
Feature.set_info(self, s1 + '-' + s2)
except Exception:
Feature.set_value(self, 0.)
else:
Feature.set_value(self, 0.)
def __init__(self, answer, i):
Feature.set_type(self, clas)
Feature.set_name(self, 'Match score')
sentence = answer.sources[i].sentence
regex = re.match(
'.*?(\d+)[-](\d+).*',
sentence) # (\d+)\W(\d+) only for multiple scores detection
if regex:
s1 = regex.group(1)
s2 = regex.group(2)
sentence_kw = extract_from_string(sentence)
q = answer.q.root_verb[0]
qsubj = get_subj(q)
if qsubj is None:
Feature.set_info(self, 'no q subj')
Feature.set_value(self, 0.)
return
qsubj = qsubj.text
result = 1
if int(s1) <= int(s2):
result = -1
try:
hs = load(sentence, sentence_kw, s1 + '-' + s2)
score = patterns_string(sentence, qsubj, s1 + '-' + s2,
answer.q.searchwords)
if score == 0:
score = float(patterns(hs, qsubj))
Feature.set_value(self, score * result)
Feature.set_info(self, s1 + '-' + s2)
except Exception:
Feature.set_value(self, 0.)
else:
Feature.set_value(self, 0.)
