def __init__(self):
self.entityNameIdMap = util.EntityNameIdMap()
self.entityNameIdMap.init_gerbil_compatible_ent_id()
self.unknown_ent_name = dict()
self.no_english_uri = dict()
self.all_gm_cnt = dict()
self.englishuri_gm_cnt = dict()
self.valid_gms = dict()
def process_aida(in_filepath, out_filepath):
# _, wiki_id_name_map = util.load_wiki_name_id_map(lowercase=False)
#_, wiki_id_name_map = util.entity_name_id_map_from_dump()
entityNameIdMap = util.EntityNameIdMap()
entityNameIdMap.init_compatible_ent_id()
unknown_gt_ids = 0 # counter of ground truth entity ids that are not in the wiki_name_id.txt
ent_id_changes = 0
with open(in_filepath) as fin, open(out_filepath, "w") as fout:
in_mention = False # am i inside a mention span or not
first_document = True
for line in fin:
l = line.split('\t')
if in_mention and not (len(l) == 7 and l[1] == 'I'):
# if I am in mention but the current line does not continue the previous mention
# then print MMEND and be in state in_mention=FALSE
fout.write("MMEND\n")
in_mention = False
if line.startswith("-DOCSTART-"):
if not first_document:
fout.write("DOCEND\n")
# line = "-DOCSTART- (967testa ATHLETICS)\n"
doc_title = line[len("-DOCSTART- ("):-2]
fout.write("DOCSTART_" + doc_title.replace(' ', '_') + "\n")
first_document = False
elif line == "\n":
fout.write("*NL*\n")
elif len(l) == 7 and l[1] == 'B': # this is a new mention
wiki_title = l[4]
wiki_title = wiki_title[len("http://en.wikipedia.org/wiki/"
):].replace('_', ' ')
new_ent_id = entityNameIdMap.compatible_ent_id(
wiki_title, l[5])
if new_ent_id is not None:
if new_ent_id != l[5]:
ent_id_changes += 1
#print(line, "old ent_id: " + l[5], " new_ent_id: ", new_ent_id)
fout.write(
"MMSTART_" + new_ent_id + "\n"
) # TODO check here if entity id is inside my wikidump
# if not then omit this mention
fout.write(l[0] + "\n") # write the word
in_mention = True
else:
unknown_gt_ids += 1
fout.write(l[0] + "\n") # write the word
print(line)
else:
# words that continue a mention len(l) == 7: and l[1]=='I'
# or normal word outside of mention, or in mention without disambiguation (len(l) == 4)
fout.write(l[0].rstrip() + "\n")
fout.write("DOCEND\n") # for the last document
print("process_aida unknown_gt_ids: ", unknown_gt_ids)
print("process_aida ent_id_changes: ", ent_id_changes)
def process_hipe(in_filepath, out_filepath):
# _, wiki_id_name_map = util.load_wiki_name_id_map(lowercase=False)
#_, wiki_id_name_map = util.entity_name_id_map_from_dump()
entityNameIdMap = util.EntityNameIdMap()
entityNameIdMap.init_compatible_ent_id()
unknown_gt_ids = 0 # counter of ground truth entity ids that are not in the wiki_name_id.txt
ent_id_changes = 0
with open(in_filepath) as fin, open(out_filepath, "w") as fout:
in_mention = False # am i inside a mention span or not
first_document = True
for line in fin:
l = line.split('\t')
if len(l) == 10:
if in_mention and not ('I' in l[1]):
# if I am in mention but the current line does not continue the previous mention
# then print MMEND and be in state in_mention=FALSE
# end of the mention
fout.write("MMEND\n")
in_mention = False
elif "EndOfLine" in l[9]:
# new line
fout.write("*NL*\n")
elif 'B' in l[1]: # this is a new mention
wikidata_id = l[7]
fout.write(
"MMSTART_" + wikidata_id + "\n"
) # TODO check here if entity id is inside my wikidump
# if not then omit this mention
fout.write(l[0] + "\n") # write the word
in_mention = True
elif l[1] == "NE-COARSE-LIT":
continue
else:
# words that continue a mention len(l) == 10: and l[1] contains 'I'
# or normal word outside of mention
fout.write(l[0].rstrip() + "\n")
elif "# document_id" in line:
if not first_document:
fout.write("DOCEND\n")
# line = "# document_id = NZZ-1798-01-20-a-p0001\n"
doc_title = line[len("# document_id = "):-1]
fout.write("DOCSTART_" + doc_title.replace(' ', '_') + "\n")
first_document = False
else:
continue
fout.write("DOCEND\n") # until the last document
def process_wimcor(in_filepath, out_filepath):
with open(in_filepath) as fin:
content = fin.read()
soup = BeautifulSoup(content, 'lxml')
spacy_tokenizer = English(parser=False)
entityNameIdMap = util.EntityNameIdMap()
entityNameIdMap.init_compatible_ent_id()
unknown_gt_ids = 0 # counter of ground truth entity ids that are not in the wiki_name_id.txt
with open(out_filepath, "w") as fout:
for idx, item in enumerate(soup.find_all('sample')):
fout.write('DOCSTART_{}\n'.format(idx))
lcontext = str(item.find('pmw').previous_sibling) if item.find('pmw').previous_sibling else ""
pmw = item.find('pmw').text
loc_pmw = len(spacy_tokenizer(lcontext))
len_pmw = len(spacy_tokenizer(pmw))
sample = '{} {} {}'.format(lcontext, pmw, str(item.find('pmw').next_sibling) if item.find('pmw').next_sibling else "")
ctr = 0
in_pmw = False
for idx, token in enumerate(spacy_tokenizer(sample)):
if idx == loc_pmw:
wiki_title = item.find('pmw')['fine']
ent_id = entityNameIdMap.compatible_ent_id(wiki_title)
if ent_id is not None:
fout.write('MMSTART_{}\n'.format(ent_id))
in_pmw = True
ctr = len_pmw
else:
unknown_gt_ids += 1
fout.write('{}\n'.format(token))
elif in_pmw and ctr == 0:
in_pmw = False
fout.write('MMEND\n')
fout.write('{}\n'.format(token))
else:
fout.write('{}\n'.format(token))
ctr -= 1
fout.write('DOCEND\n')
print("process_wimcor unknown_gt_ids: ", unknown_gt_ids)
def wikidump_to_new_format():
doc_cnt = 0
hyperlink2EntityId = util.EntityNameIdMap()
hyperlink2EntityId.init_hyperlink2id()
if args.debug:
infilepath = config.base_folder + "data/mydata/tokenized_toy_wiki_dump2.txt"
outfilepath = args.out_folder + "toy_wikidump.txt"
else:
infilepath = config.base_folder + "data/basic_data/tokenizedWiki.txt"
outfilepath = args.out_folder + "wikidump.txt"
with open(infilepath) as fin,\
open(outfilepath, "w") as fout:
in_mention = False
for line in fin:
line = line.rstrip() # omit the '\n' character
if line.startswith('<doc\xa0id="'):
docid = line[9:line.find('"', 9)]
doctitle = line[line.rfind('="') + 2:-2]
fout.write("DOCSTART_" + docid + "_" +
doctitle.replace(' ', '_') + "\n")
elif line.startswith('<a\xa0href="'):
ent_id = hyperlink2EntityId.hyperlink2id(line)
if ent_id != config.unk_ent_id:
in_mention = True
fout.write("MMSTART_" + ent_id + "\n")
elif line == '</doc>':
fout.write("DOCEND\n")
doc_cnt += 1
if doc_cnt % 5000 == 0:
print("document counter: ", doc_cnt)
elif line == '</a>':
if in_mention:
fout.write("MMEND\n")
in_mention = False
else:
fout.write(line + "\n")
def process_aida(in_filepath, out_filepath):
# _, wiki_id_name_map = util.load_wiki_name_id_map(lowercase=False)
#_, wiki_id_name_map = util.entity_name_id_map_from_dump()
entityNameIdMap = util.EntityNameIdMap()
entityNameIdMap.init_compatible_ent_id()
unknown_gt_ids = 0 # counter of ground truth entity ids that are not in the wiki_name_id.txt
ent_id_changes = 0
text_acc = []
with open(in_filepath) as fin, open(
args.output_folder + "tokenize_" + out_filepath, "w") as fout:
in_mention = False # am i inside a mention span or not
first_document = True
for line in fin:
l = line.strip().split('\t')
if in_mention and not (len(l) == 5 and l[1] == 'I'):
# if I am in mention but the current line does not continue the previous mention
# then print MMEND and be in state in_mention=FALSE
#fout.write("MMEND\n")
text_acc.append("MMEND")
in_mention = False
if line.startswith("-DOCSTART-"):
if not first_document:
#fout.write("DOCEND\n")
text_acc.append("DOCEND")
# line = "-DOCSTART- (967testa ATHLETICS)\n"
doc_title = line[len("-DOCSTART- ("):-2]
#fout.write("DOCSTART_"+doc_title.replace(' ', '_')+"\n")
text_acc.append("DOCSTART_" + doc_title.replace(' ', '_'))
first_document = False
elif line == "\n":
#fout.write("*NL*\n")
text_acc.append("\n")
elif len(l) == 5 and l[1] == 'B': # this is a new mention
wikidataid = l[4]
wikidataid = wikidataid[len("https://www.wikidata.org/wiki/"):]
if entityNameIdMap.is_valid_entity_id(wikidataid):
text_acc.append("MMSTART_" + wikidataid)
# if not then omit this mention
#fout.write(l[0]+"\n") # write the word
text_acc.append(l[0]) # write the word
in_mention = True
else:
unknown_gt_ids += 1
#fout.write(l[0]+"\n") # write the word
text_acc.append(l[0]) # write the word
print(line)
else:
# words that continue a mention len(l) == 7: and l[1]=='I'
# or normal word outside of mention, or in mention without disambiguation (len(l) == 4)
#fout.write(l[0].rstrip()+"\n")
text_acc.append(l[0].rstrip())
#fout.write("DOCEND\n") # for the last document
text_acc.append("DOCEND") # for the last document
fout.write(' '.join(text_acc))
print("process_aida unknown_gt_ids: ", unknown_gt_ids)
print("now tokenize with stanford tokenizer")
tokenize_command = 'cd {}; java -cp "*" ' \
'edu.stanford.nlp.process.PTBTokenizer -options "tokenizeNLs=True" < {} > {}'.format(
args.stanford_tokenizer_folder, args.output_folder+"tokenize_"+out_filepath, args.output_folder+out_filepath)
print(tokenize_command)
call(tokenize_command, shell=True)
def __init__(self):
self.entityNameIdMap = util.EntityNameIdMap()
self.entityNameIdMap.init_compatible_ent_id()
