def answer_where(s):
parsed_s = tree_parser.sent_to_tree(s)
pps = tree_parser.get_phrases(parsed_s, "PP", False, True)
for pp in pps:
sent_pp = tree_parser.tree_to_sent(pp)
tagged_pp = tagger.tag(nltk.tokenize.word_tokenize(sent_pp))
for tup in tagged_pp:
if tup[1] == "LOCATION" or tup[1] == "ORGANIZATION":
return sent_pp.strip()
return ""
def answer_non_definitions(s, main_nps):
if is_definition(s):
return answer_definitions(s, main_nps)
if len(main_nps) == 0:
return ""
main_np = tree_parser.tree_to_sent(main_nps[0])
parsed_s = tree_parser.sent_to_tree(s)
vps = tree_parser.get_phrases(parsed_s, "VP", True, True)
if len(vps) > 0:
for vp in vps:
if vp.label() != "VBN":
main_vp = vp
break
else:
return ""
verb = get_main_verb(main_vp)
candidates = s.split(" "+verb)
if len(candidates) > 1:
# if main_np in candidates[1]:
if is_overlap(main_np, candidates[1]):
ans_tree = tree_parser.sent_to_tree(candidates[1])
s_nps = tree_parser.get_phrases(ans_tree, "NP", True, False)
if len(s_nps) > 0:
return tree_parser.tree_to_sent(s_nps[0])
else:
return candidates[0]
else:
ans_tree = tree_parser.sent_to_tree(candidates[0])
s_nps = tree_parser.get_phrases(ans_tree, "NP", True, False)
if len(s_nps) > 0:
return tree_parser.tree_to_sent(s_nps[0])
else:
return candidates[1]
else:
return ""
def answer_when(s):
parsed_s = tree_parser.sent_to_tree(s)
pps = tree_parser.get_phrases(parsed_s, "PP", False, True)
for pp in pps:
sent_pp = tree_parser.tree_to_sent(pp)
tagged_pp = tagger.tag(nltk.tokenize.word_tokenize(sent_pp))
for tup in tagged_pp:
if tup[1] == "DATE" or tup[1] == "TIME":
return sent_pp.strip()
tagged_sent = tagger.tag(nltk.tokenize.word_tokenize(s))
ans = ""
for i in xrange(0, len(tagged_sent)):
tup = tagged_sent[i]
if tup[1] == "DATE" or tup[1] == "TIME":
j = i
while tagged_sent[j][1] == "DATE" or tagged_sent[j][1] == "TIME":
ans += tagged_sent[j][0] + " "
j += 1
return ans.strip()
return ""