def where(self, si):
C = self.contain_loc(si)
if C:
si_filtered = self.PP_location_deletion(si, C)
binary_q = Binary.main(si_filtered)
binary_q = binary_q[0].lower() + binary_q[1:]
si_binary = binary_q
if si_binary:
return "where " + si_binary
else:
return None
return None
def main(self, k):
print("\n\n\n\n")
print("Check Point 0")
T = Tokenize.main(k, "einstein.txt")
sentences_top_k = T[0]
NE = T[1]
questions = []
for si in sentences_top_k:
print(" *** org : ", si)
bin_attempt = Binary.main(si)
wh_attempt = WH.main(bin_attempt, si, NE)
if bin_attempt:
print(" *** bin : ", bin_attempt)
questions.append(bin_attempt)
if wh_attempt:
questions.append(wh_attempt)
def get_raw_answer(self, question, answer): q_tree = sNLP.parse(question) q_tree = Tree.fromstring(str(q_tree)) a_tree = sNLP.parse(Binary.main(answer)) a_tree = Tree.fromstring(str(a_tree)) res = True (q_top_level_structure, q_parse_by_structure) = self.get_top_level_structure(q_tree) (a_top_level_structure, a_parse_by_structure) = self.get_top_level_structure(a_tree) for i in range(0, len(q_top_level_structure)): q_label = q_top_level_structure[i] if q_label in a_top_level_structure: a_index = a_top_level_structure.index(q_label) else: print "label not found" return False # print "Result:!!!!!", self.partial_matching(q_parse_by_structure[i], a_parse_by_structure[a_index]) if not self.partial_matching(q_parse_by_structure[i], a_parse_by_structure[a_index]): # print "struct:", q_parse_by_structure[i], a_parse_by_structure[a_index] return False return True
def main(self, k):
print("\n\n\n\n")
binary_questions = []
print "Check Point 0"
T = Tokenize.main(k)
sentences_top_k = T[0]
NE = T[1]
# print(sentences_top_k)
questions = []
for si in sentences_top_k:
print(" *** org : ", si)
# print(" *** original sentence: ", si)
bin_attempt = Binary.main(si)
wh_attempt = WH.main(bin_attempt, si, NE)
if bin_attempt:
print(" *** bin : ", bin_attempt)
questions.append(bin_attempt)
if wh_attempt:
questions.append(wh_attempt)
print("\n")
print("\n\n\n\n")
