def containsNER(q,category):
q_str = ""
for words in q.split():
word = helper.removepunc(words)
q_str = q_str + word + " "
q_tokens = nltk.word_tokenize(q_str)
q_tag = nltk.pos_tag(q_tokens)
ne_tag = nltk.ne_chunk(q_tag)
for tree in ne_tag.subtrees():
if tree.label() == category:
return True
return False
if question_type == "what":
new_ans = FinalizeSent.matchFinalAnsWhat(q,sorted_top_ans)
if question_type == "when" or question_type == "hownum":
new_ans = FinalizeSent.matchFinalAnsWhenHow(q,sorted_top_ans)
if question_type == "why":
new_ans = FinalizeSent.matchFinalWhy(q,sorted_top_ans)
else:
new_ans = FinalizeSent.formatFinalSent(Whword, s2, q)
#new_ans = FinalizeSent.trimFinalAns(matched_ans,s2.split(),1)
value = ""
if len(new_ans) > 0:
value_str = ""
for ans in new_ans:
#ans = " ".join("".join([" " if ch in string.punctuation else ch for ch in ans]).split())
ans = ans.strip()
ans = helper.removepunc(ans)
value_str = value_str + ans + " "
value = ""
value_str_list1 = value_str.split()
value_str = ""
value_str_list = sorted(set(value_str_list1),key=value_str_list1.index)
for val in value_str_list:
if not helper.remqueswords(q,val):
value_str = value_str + str(val) + " "
if value_str == "":
match_ans = sorted_top_ans[0][0]
match_ans1 = match_ans.strip()
match_ans2 = match_ans1.replace("\n"," ")
for val in match_ans2.split():
if not helper.remqueswords(q,val):
val = helper.removepunc(val)
