def LF_tdelta_overlaps_dist_long(self, span):
if 'tdelta' not in span.props:
return self.class_map["ABSTAIN"]
v = span.props['tdelta'] >= 0
dist = token_distance(span, span.props['timex_span'])
return self.class_map[
"OVERLAPS"] if v and dist > 10 else self.class_map["ABSTAIN"]
def LF_tdelta_before_dist_long(self, span):
if 'tdelta' not in span.props:
return self.class_map["ABSTAIN"]
v = span.props['tdelta'] < -1
dist = token_distance(span, span.props['timex_span'])
return self.class_map["BEFORE"] if v and dist > 10 else self.class_map[
"ABSTAIN"]
def LF_tdelta_after_dist_1(self, span):
""" requires revision date info """
if 'tdelta' not in span.props or 'doctime' not in span.sentence.document.props:
return self.class_map["ABSTAIN"]
closest_ts = span.props['timex_span']
tdelta_start = span.props['tdelta']
tdelta_rev = closest_ts - span.sentence.document.props['doctime']
v = tdelta_start > 5 and tdelta_rev > 5
dist = token_distance(span, span.props['timex_span'])
return self.class_map[
"OVERLAPS"] if v and dist <= 1 else self.class_map["ABSTAIN"]