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constraint_preprocess.py
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constraint_preprocess.py
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from nltk.corpus import wordnet as wn
from nltk.stem.wordnet import WordNetLemmatizer
import argparse
import copy
import sys
lemmatizer = WordNetLemmatizer()
DEBUG = False
def load_sent(data_file):
sents = []
with open(data_file, 'r+') as f:
for l in f:
if l.strip():
sents.append(l.lower().split(' '))
return sents
def load_cache(out_file, lemmatize = False):
cache = {}
with open(out_file, 'r+') as f:
for l in f:
toks = l.split("\t")
if lemmatize:
cache[toks[0]] = [lemmatizer.lemmatize(t.lower()) for t in toks[1:]]
else:
cache[toks[0]] = [t.lower() for t in toks[1:]]
return cache
def load_table(in_file):
cache = {}
with open(in_file, 'r+') as f:
ex_id = 0
for l in f:
toks = l.rstrip().split(' ')
cache[ex_id] = toks
ex_id += 1
return cache
def merge_subgraphs(subgraphs):
subgraphs_ = copy.deepcopy(subgraphs)
merge_happened = True
indep_flags = [True for _ in subgraphs]
# merge
while merge_happened:
merge_happened = False
for i in range(len(subgraphs_)):
if len(subgraphs_[i][0]) == 0:
continue
for j in range(i+1, len(subgraphs_)):
if len(subgraphs_[j][0]) == 0:
continue
s0, t0 = subgraphs_[i]
s1, t1 = subgraphs_[j]
# if has intersection, merge
if len(set(s0).intersection(set(s1))) != 0 or len(set(t0).intersection(set(t1))) != 0:
#print('merging {0} and {1}'.format(subgraphs_[i], subgraphs_[j]))
subgraphs_[i] = (list(set(s0).union(set(s1))), list(set(t0).union(set(t1))))
subgraphs_[j] = ([], [])
merge_happened = True # indicates there is a merge
indep_flags[i] = False
indep_flags[j] = False
#print(subgraphs_)
# after merging is done, add non-mergeable subgraphs
subs = [sub for sub in subgraphs_ if len(sub[0]) > 0 and len(sub[1]) > 0]
# get independent subgraphs
indep_subs = [subgraphs[i] for i in range(len(subgraphs)) if indep_flags[i]]
# get merged subgraphs
merged_subs = [sub for i, sub in enumerate(subgraphs_) if len(sub[0]) > 0 and len(sub[1]) > 0 and not indep_flags[i]]
return (subs, indep_subs, merged_subs)
def merge_this_with_that(left, rit):
union = []
union.extend(left)
union.extend(rit)
subgraphs, indep, merged = merge_subgraphs(union)
left_indep = [l for l in left if l in indep]
return (subgraphs, left_indep, merged)
def check_dict(res, l, r):
r_in_l = l in res and r in res[l]
l_in_r = r in res and l in res[r]
return r_in_l or l_in_r
def overlap_check(left, rit):
rs = [True for l in left for r in rit if len(set(l[0]).intersection(set(r[0]))) > 0 or len(set(l[1]).intersection(set(r[1]))) > 0]
return len(rs) != 0
def process_syn(ex_id, src, targ, cache_dict, verbose=False):
syn_subgraphs = {} # subgraph keyed by token id of src sentence
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if s == t or check_dict(syn, s, t) or check_dict(isa, s, t):
if i in syn_subgraphs:
syn_subgraphs[i].append(j)
else:
syn_subgraphs[i] = [j]
if check_dict(ant, s, t) or check_dict(rel, s, t):
if i in rel_subgraphs:
rel_subgraphs[i].append(j)
else:
rel_subgraphs[i] = [j]
# change dict into list
syn_subgraphs = [([k], v) for k, v in syn_subgraphs.items()]
rel_subgraphs = [([k], v) for k, v in rel_subgraphs.items()]
if verbose:
print('syn_subgraphs: {0}'.format(syn_subgraphs))
print('rel_subgraphs: {0}'.format(rel_subgraphs))
# isa and syn will be classified as synilar
# ant and rel will be taken as just related
# the core syn subgraphs are the independent ones (i.e. non-mergeable ones)
subs, indep, _ = merge_this_with_that(syn_subgraphs, rel_subgraphs)
return indep
def process_excl_syn(ex_id, src, targ, cache_dict, verbose=False):
syn_subgraphs = {} # subgraph keyed by token id of src sentence
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if (s == t or check_dict(syn, s, t) or check_dict(isa, s, t)) and not check_dict(ant, s, t):
if i in syn_subgraphs:
syn_subgraphs[i].append(j)
else:
syn_subgraphs[i] = [j]
# change dict into list
syn_subgraphs = [([k], v) for k, v in syn_subgraphs.items()]
if verbose:
print('syn_subgraphs: {0}'.format(syn_subgraphs))
subs, _, _ = merge_subgraphs(syn_subgraphs)
return subs
def process_ant(ex_id, src, targ, cache_dict, verbose=False):
ant_subgraphs = {} # subgraph keyed by token id of src sentence
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if check_dict(ant, s, t):
if i in ant_subgraphs:
ant_subgraphs[i].append(j)
else:
ant_subgraphs[i] = [j]
if s == t or check_dict(syn, s, t) or check_dict(isa, s, t) or check_dict(rel, s, t):
if i in rel_subgraphs:
rel_subgraphs[i].append(j)
else:
rel_subgraphs[i] = [j]
# change dict into list
ant_subgraphs = [([k], v) for k, v in ant_subgraphs.items()]
rel_subgraphs = [([k], v) for k, v in rel_subgraphs.items()]
if verbose:
print('ant_subgraphs: {0}'.format(ant_subgraphs))
print('rel_subgraphs: {0}'.format(rel_subgraphs))
# ant will be classified as antonym
# syn, isa and rel will be taken as just related
# the core syn subgraphs are the independent ones (i.e. non-mergeable ones)
subs, indep, _ = merge_this_with_that(ant_subgraphs, rel_subgraphs)
return indep
def process_excl_ant(ex_id, src, targ, cache_dict, verbose=False):
ant_subgraphs = {} # subgraph keyed by token id of src sentence
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if check_dict(ant, s, t) and s != t and not check_dict(syn, s, t) and not check_dict(isa, s, t):
if i in ant_subgraphs:
ant_subgraphs[i].append(j)
else:
ant_subgraphs[i] = [j]
# change dict into list
ant_subgraphs = [([k], v) for k, v in ant_subgraphs.items()]
if verbose:
print('ant_subgraphs: {0}'.format(ant_subgraphs))
subs, _, _ = merge_subgraphs(ant_subgraphs)
return subs
def process_all_ant(ex_id, src, targ, cache_dict, verbose=False):
ant_subgraphs = {} # subgraph keyed by token id of src sentence
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if check_dict(ant, s, t):
if i in ant_subgraphs:
ant_subgraphs[i].append(j)
else:
ant_subgraphs[i] = [j]
# change dict into list
ant_subgraphs = [([k], v) for k, v in ant_subgraphs.items()]
if verbose:
print('ant_subgraphs: {0}'.format(ant_subgraphs))
subs, _, _ = merge_subgraphs(ant_subgraphs)
return subs
def process_rel(ex_id, src, targ, cache_dict, verbose=False):
syn_subgraphs = {} # subgraph keyed by token id of src sentence
ant_subgraphs = {}
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if s == t or check_dict(syn, s, t) or check_dict(isa, s, t):
if i in syn_subgraphs:
syn_subgraphs[i].append(j)
else:
syn_subgraphs[i] = [j]
if check_dict(ant, s, t):
if i in ant_subgraphs:
ant_subgraphs[i].append(j)
else:
ant_subgraphs[i] = [j]
if check_dict(rel, s, t):
if i in rel_subgraphs:
rel_subgraphs[i].append(j)
else:
rel_subgraphs[i] = [j]
# change dict into list
syn_subgraphs = [([k], v) for k, v in syn_subgraphs.items()]
ant_subgraphs = [([k], v) for k, v in ant_subgraphs.items()]
rel_subgraphs = [([k], v) for k, v in rel_subgraphs.items()]
if verbose:
print('syn_subgraphs: {0}'.format(syn_subgraphs))
print('ant_subgraphs: {0}'.format(ant_subgraphs))
print('rel_subgraphs: {0}'.format(rel_subgraphs))
# the core rel subgraphs are those independent rel subgraphs and merged syn and ant subgraphs
so_subs, syn_indep, so_merged = merge_this_with_that(syn_subgraphs, ant_subgraphs)
_, ant_indep, _ = merge_this_with_that(ant_subgraphs, syn_subgraphs)
rel_subs, rel_indep, rel_merged = merge_this_with_that(rel_subgraphs, so_subs)
rel_merged.extend(so_merged)
rel_merged.extend(rel_indep)
# filter by exclusion
# ONLY kill those identical subgraphs
rel_merged = [sub for sub in rel_merged if sub not in syn_indep and sub not in ant_indep]
rel_merged.extend(so_merged)
rel_merged.extend(rel_indep)
rel_merged, _, _ = merge_subgraphs(rel_merged)
return rel_merged
def process_all_rel(ex_id, src, targ, cache_dict, verbose=False):
rel_subgraphs = {}
syn = cache_dict['syn'] if 'syn' in cache_dict else {}
ant = cache_dict['ant'] if 'ant' in cache_dict else {}
rel = cache_dict['rel'] if 'rel' in cache_dict else {}
isa = cache_dict['isa'] if 'isa' in cache_dict else {}
for i, s in enumerate(src):
for j, t in enumerate(targ):
s_syn = syn[s] if s in syn else {}
t_syn = syn[t] if t in syn else {}
if s == t or check_dict(syn, s, t) or check_dict(isa, s, t) or check_dict(ant, s, t) or check_dict(rel, s, t):
if i in rel_subgraphs:
rel_subgraphs[i].append(j)
else:
rel_subgraphs[i] = [j]
# change dict into list
rel_subgraphs = [([k], v) for k, v in rel_subgraphs.items()]
if verbose:
print('rel_subgraphs: {0}'.format(rel_subgraphs))
ensemble, indep, _ = merge_subgraphs(rel_subgraphs)
return ensemble
def wn_synonyms(lemma):
synonyms = wn.synsets(lemma)
return list(set(chain.from_iterable([word.lemma_names() for word in synonyms])))
def process_conj(ex_id, src, targ, cache_dict, verbose=False):
rel_subgraphs = {}
src_pos = cache_dict['src_pos'][ex_id]
targ_pos = cache_dict['targ_pos'][ex_id]
src_sub = []
targ_sub = []
for i, s in enumerate(src_pos):
if s == 'PUNCT':
src_sub.append(i)
for j, t in enumerate(targ_pos):
if t == 'PUNCT':
targ_sub.append(j)
sub = [(src_sub, targ_sub)]
if verbose:
print('pos_subgraphs: {0}'.format(sub))
return sub
def process_det_num(ex_id, src, targ, cache_dict, verbose=False):
rel_subgraphs = {}
src_pos = cache_dict['src_pos'][ex_id]
targ_pos = cache_dict['targ_pos'][ex_id]
src_sub = []
targ_sub = []
for i, s in enumerate(src_pos):
if s == 'DET' or s == 'NUM':
src_sub.append(i)
for j, t in enumerate(targ_pos):
if t == 'DET' or t == 'NUM':
targ_sub.append(j)
sub = [(src_sub, targ_sub)]
if verbose:
print('pos_subgraphs: {0}'.format(sub))
return sub
def process_content_word(ex_id, src, targ, cache_dict, verbose=False):
rel_subgraphs = {}
src_pos = cache_dict['src_pos'][ex_id]
targ_pos = cache_dict['targ_pos'][ex_id]
content_pos = ['ADJ', 'ADV', 'INTJ', 'NOUN', 'PROPN', 'VERB', 'NUM']
src_sub = []
targ_sub = []
for i, s in enumerate(src_pos):
if s in content_pos:
src_sub.append(i)
for j, t in enumerate(targ_pos):
if t in content_pos:
targ_sub.append(j)
sub = [(src_sub, targ_sub)]
if verbose:
print('pos_subgraphs: {0}'.format(sub))
return sub
def process(opt, verbose=False):
rel = opt.output_rel
src = load_sent(opt.src)
targ = load_sent(opt.targ)
cache = {}
lemmatize = False
if opt.syn != '':
cache['syn'] = load_cache(opt.syn, lemmatize)
if opt.ant != '':
cache['ant'] = load_cache(opt.ant, lemmatize)
if opt.rel != '':
cache['rel'] = load_cache(opt.rel, lemmatize)
if opt.isa != '':
cache['isa'] = load_cache(opt.isa, lemmatize)
if opt.src_pos != '':
cache['src_pos'] = load_table(opt.src_pos)
if opt.targ_pos != '':
cache['targ_pos'] = load_table(opt.targ_pos)
subgraphs = []
typ = 'map'
cnt = 0
for s, t in zip(src, targ):
print('processing {0} for {1}'.format(rel, cnt))
subs = []
if rel == 'syn':
subs = process_syn(cnt, s, t, cache, verbose)
elif rel == 'ant':
subs = process_ant(cnt, s, t, cache, verbose)
elif rel == 'rel':
subs = process_rel(cnt, s, t, cache, verbose)
elif rel == 'all_rel':
subs = process_all_rel(cnt, s, t, cache, verbose)
elif rel == 'excl_syn':
subs = process_excl_syn(cnt, s, t, cache, verbose)
elif rel == 'excl_ant': # remove pairs in syn
subs = process_excl_ant(cnt, s, t, cache, verbose)
elif rel == 'all_ant': # remove pairs in syn
subs = process_all_ant(cnt, s, t, cache, verbose)
elif rel == 'conj':
typ = 'list'
subs = process_conj(cnt, s, t, cache, verbose)
elif rel == 'det_num':
typ = 'list'
subs = process_det_num(cnt, s, t, cache, verbose)
elif rel == 'content_word':
typ = 'list'
subs = process_content_word(cnt, s, t, cache, verbose)
else:
print('unrecognized rel {0}'.format(rel))
assert(False)
subgraphs.append(subs)
cnt += 1
print('converting subgraphs into json string')
rs = to_json_map(subgraphs, rel) if typ == 'map' else to_json_list(subgraphs, rel)
output_path = opt.output + '.' + rel + '.json'
with open(output_path, 'w+') as f:
f.write(rs)
def to_json_map(subs, name):
rs = '{ \"type\":\"map\", \"' + name + '\":{\n'
for ex, sub in enumerate(subs):
rs += '\"' + str(ex) + '\":{\"' + name + '\":'
# get keys
keys = [i for i,_ in enumerate(sub)]
rs += '[' + ','.join('\"{0}\"'.format(k) for k in keys) + ']'
if len(keys) > 0:
rs += ','
for j, p in enumerate(sub):
k = j
rs += '\"{0}\":[{1},{2}]'.format(k, str(p[0]).replace(' ', ''), str(p[1]).replace(' ', ''))
if j != len(sub)-1:
rs += ','
rs += '}'
if ex != len(subs) - 1:
rs += ','
rs += '\n'
rs += '}}'
return rs
def to_json_list(subs, name):
rs = '{ \"type\": \"list", \"' + name + '\":{\n'
for ex, sub in enumerate(subs):
p = sub[0][0]
h = sub[0][1]
rs += '\"' + str(ex) + '\":{\"p\":' + str(p).replace(' ', '') + ',\"h\":' + str(h).replace(' ', '') +'}'
if ex != len(subs) - 1:
rs += ','
rs += '\n'
rs += '}}'
return rs
def main(args):
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--dir', help="Path to the data dir.", default = "./data/snli_1.0/")
parser.add_argument('--src', help="Path to sent1 lemma data.", default = "dev.sent1_lemma.txt")
parser.add_argument('--targ', help="Path to sent2 lemma data.", default = "dev.sent2_lemma.txt")
parser.add_argument('--src_pos', help='Path to src pos data.', default='dev.sent1_pos.txt')
parser.add_argument('--targ_pos', help='Path to targ pos data.', default='dev.sent2_pos.txt')
parser.add_argument('--syn', help="Path to synonym cache", default = "conceptnet.syn.txt")
parser.add_argument('--ant', help="Path to antonym cache", default = "conceptnet.distinct.txt")
parser.add_argument('--rel', help="Path to related cache", default = "conceptnet.related.txt")
parser.add_argument('--isa', help="Path to isa cache", default = "conceptnet.isa.txt")
parser.add_argument('--output_rel', help='The type of relation to output', default='all_rel')
parser.add_argument('--output', help="Prefix of the output file", default = "dev")
opt = parser.parse_args(args)
opt.src = opt.dir + opt.src
opt.targ = opt.dir + opt.targ
opt.src_pos = opt.dir + opt.src_pos
opt.targ_pos = opt.dir + opt.targ_pos
opt.output = opt.dir + opt.output
opt.syn = opt.dir + opt.syn
opt.ant = opt.dir + opt.ant
opt.rel = opt.dir + opt.rel
opt.isa = opt.dir + opt.isa
process(opt, verbose=False)
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
#subgraphs = [([0], [1,2]), ([1], [5]), ([3], [3,4]), ([4], [1,4]), ([5], [7])]
#merged, indep, _ = merge_subgraphs(subgraphs)
##print(merged)
##print(indep)
#
#
#src = [0,1,2,3,4,5,9,10]
#targ = [0,1,2,3,4,5,6,7,8,11]
#syn = {0: [0], 1: [1, 5]}
#ant = {9: [8]}
#rel = {5: [7], 7: [2], 10: [11]}
#cache_dict = {'syn': syn, 'ant': ant, 'rel': rel}
##print('syn: {}'.format(process_syn(src, targ, cache_dict, verbose=True)))
##print('ant: {}'.format(process_ant(src, targ, cache_dict, verbose=True)))
#print('rel: {}'.format(process_rel(src, targ, cache_dict, verbose=True)))
##print('all rel: {}'.format(process_all_rel(src, targ, cache_dict, verbose=True)))#