support automatic named entity disambiguation

pull/2/head
Kai Labusch 5 years ago
parent 05f49df6d2
commit 0cd9cd932a

@ -117,7 +117,9 @@ def ner(tsv, ner_rest_endpoint):
yield '', '', True
result_sequence = iterate_ner_results(json.loads(resp.content))
ner_result = json.loads(resp.content)
result_sequence = iterate_ner_results(ner_result)
tsv_result = []
for idx, row in tsv.iterrows():
@ -139,7 +141,48 @@ def ner(tsv, ner_rest_endpoint):
row.bottom))
return pd.DataFrame(tsv_result, columns=['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'GND-ID', 'url_id',
'left', 'right', 'top', 'bottom'])
'left', 'right', 'top', 'bottom']), ner_result
def ned(tsv, ner_result, ned_rest_endpoint):
resp = requests.post(url=ned_rest_endpoint + '/parse', json=ner_result)
ner_parsed = json.loads(resp.content)
resp = requests.post(url=ned_rest_endpoint + '/ned', json=ner_parsed, timeout=3600000)
ned_result = json.loads(resp.content)
rids = []
entity = ""
entity_type = None
for rid, row in tsv.iterrows():
if (entity != "") and ((row['NE-TAG'] == 'O') or (row['NE-TAG'].startswith('B-'))):
eid = entity + "-" + entity_type
if eid in ned_result:
candidates = ned_result[eid]
tsv.loc[rids, 'GND-ID'] = candidates[0][1]['wikidata']
rids = []
entity = ""
entity_type = None
if row['NE-TAG'] != 'O':
entity_type = row['NE-TAG'][2:]
entity += " " if entity != "" else ""
entity += row['TOKEN']
rids.append(rid)
return tsv
@click.command()
@ -148,9 +191,11 @@ def ner(tsv, ner_rest_endpoint):
@click.option('--image-url', type=str, default='http://empty')
@click.option('--ner-rest-endpoint', type=str, default=None,
help="REST endpoint of sbb_ner service. See https://github.com/qurator-spk/sbb_ner for details.")
@click.option('--ned-rest-endpoint', type=str, default=None,
help="REST endpoint of sbb_ned service. See https://github.com/qurator-spk/sbb_ned for details.")
@click.option('--noproxy', type=bool, is_flag=True, help='disable proxy. default: enabled.')
@click.option('--scale-factor', type=float, default=0.5685, help='default: 0.5685')
def page2tsv(page_xml_file, tsv_out_file, image_url, ner_rest_endpoint, noproxy, scale_factor):
def page2tsv(page_xml_file, tsv_out_file, image_url, ner_rest_endpoint, ned_rest_endpoint, noproxy, scale_factor):
out_columns = ['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'GND-ID', 'url_id', 'left', 'right', 'top', 'bottom']
@ -176,12 +221,8 @@ def page2tsv(page_xml_file, tsv_out_file, image_url, ner_rest_endpoint, noproxy,
for text_line in region.findall('.//{%s}TextLine' % xmlns):
line_number += 1
# import ipdb; ipdb.set_trace()
for words in text_line.findall('./{%s}Word' % xmlns):
# import ipdb;ipdb.set_trace()
for word in words.findall('./{%s}TextEquiv/{%s}Unicode' % (xmlns, xmlns)):
text = word.text
for coords in words.findall('./{%s}Coords' % xmlns):
@ -222,6 +263,10 @@ def page2tsv(page_xml_file, tsv_out_file, image_url, ner_rest_endpoint, noproxy,
if ner_rest_endpoint is not None:
tsv = ner(tsv, ner_rest_endpoint)
tsv, ner_result = ner(tsv, ner_rest_endpoint)
if ned_rest_endpoint is not None:
tsv = ned(tsv, ner_result, ned_rest_endpoint)
tsv.to_csv(tsv_out_file, sep="\t", quoting=3, index=False, mode='a', header=False)

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