def LF_collector_aligned(c):
"""Return False if temp mention's ngrams align with the following keywords."""
return (FALSE if overlap(
[
"collector", "collector-current", "collector-base",
"collector-emitter"
],
list(get_aligned_ngrams(c.temp)),
) else ABSTAIN)
def LF_not_temp_relevant(c):
return (
FALSE
if not overlap(
["storage", "temperature", "tstg", "stg", "ts"],
list(get_aligned_ngrams(c.temp)),
)
else ABSTAIN
)
def LF_collector_aligned(c):
return (
FALSE
if overlap(
["collector", "collector-current", "collector-base", "collector-emitter"],
list(get_aligned_ngrams(c.temp)),
)
else ABSTAIN
)
def LF_voltage_row_part(c):
return (-1 if overlap(["voltage", "cbo", "ceo", "ebo", "v"],
list(get_aligned_ngrams(c.temp))) else 0)
def LF_current_aligned(c):
return (-1 if overlap(["current", "dc", "ic"],
list(get_aligned_ngrams(c.temp))) else 0)
def LF_test_condition_aligned(c):
return -1 if overlap(["test", "condition"], list(get_aligned_ngrams(
c.temp))) else 0
def LF_test_condition_aligned(c):
return (FALSE if overlap(["test", "condition"],
list(get_aligned_ngrams(c[1]))) else ABSTAIN)
def LF_V_aligned(c):
return TRUE if overlap("V", get_aligned_ngrams(c,
lower=False)) else ABSTAIN
def LF_polarity_description(c):
aligned_ngrams = set(get_aligned_ngrams(c[1]))
return TRUE if overlap(["description", "polarity"],
aligned_ngrams) else ABSTAIN
def LF_voltage_row_part(c):
return (FALSE if overlap(["voltage", "cbo", "ceo", "ebo", "v"],
list(get_aligned_ngrams(c[1]))) else ABSTAIN)
def LF_current_aligned(c):
return (FALSE if overlap(["current", "dc", "ic"],
list(get_aligned_ngrams(c[1]))) else ABSTAIN)
def LF_voltage_row_part(c):
"""Return False if temp mention's ngrams align with the following keywords."""
return (FALSE if overlap(["voltage", "cbo", "ceo", "ebo", "v"],
list(get_aligned_ngrams(c.temp))) else ABSTAIN)
def LF_current_aligned(c):
"""Return False if temp mention's ngrams align with the following keywords."""
return (FALSE if overlap(["current", "dc", "ic"],
list(get_aligned_ngrams(c.temp))) else ABSTAIN)
def LF_test_condition_aligned(c):
"""Return False if temp mention's ngrams align with ``test'' or ``condition''."""
return (FALSE if overlap(["test", "condition"],
list(get_aligned_ngrams(c.temp))) else ABSTAIN)
def LF_not_temp_relevant(c):
"""Return False if temp mention's ngrams overlap with the following keywords."""
return (FALSE if not overlap(
["storage", "temperature", "tstg", "stg", "ts"],
list(get_aligned_ngrams(c.temp)),
) else ABSTAIN)
