qurator-spk/page2tsv
1
0
Fork 0
mirror of https://github.com/qurator-spk/page2tsv.git synced 2025-07-03 23:29:52 +02:00
Code Issues Releases Wiki Activity

proper support for retroactive entity linking

Browse source
This commit is contained in:
Kai Labusch 2020-06-19 14:30:38 +02:00
parent 449bd1d3ca
commit e09f40db61
1 changed files with 5 additions and 4 deletions
Download patch file Download diff file Expand all files Collapse all files

7
cli.py
View file

@ -321,12 +321,14 @@ def find_entities(tsv_file, tsv_out_file, ner_rest_endpoint, ned_rest_endpoint,
out_columns = ['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'ID', 'url_id', 'left', 'right', 'top', 'bottom'] out_columns = ['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'ID', 'url_id', 'left', 'right', 'top', 'bottom']
supported_ent = {'PER', 'LOC', 'ORG'}
if noproxy: if noproxy:
os.environ['no_proxy'] = '*' os.environ['no_proxy'] = '*'
tsv = pd.read_csv(tsv_file, sep='\t', comment='#', quoting=3) tsv = pd.read_csv(tsv_file, sep='\t', comment='#', quoting=3)
parts = extract_doc_links(tsv_out_file) parts = extract_doc_links(tsv_file)
urls = [part['url'] for part in parts] urls = [part['url'] for part in parts]
@ -342,7 +344,7 @@ def find_entities(tsv_file, tsv_out_file, ner_rest_endpoint, ned_rest_endpoint,
tmp = tsv.copy() tmp = tsv.copy()
tmp['sen'] = (tmp['No.'] == 0).cumsum() tmp['sen'] = (tmp['No.'] == 0).cumsum()
ner_result = [[{'word': row.TOKEN, 'prediction': row['NE-TAG']} for _, row in sen.iterrows()] ner_result = [[{'word': str(row.TOKEN), 'prediction': row['NE-TAG'] if len(row['NE-TAG']) == 1 or row['NE-TAG'][-3:] in supported_ent else 'O' } for _, row in sen.iterrows()]
for _, sen in tmp.groupby('sen')] for _, sen in tmp.groupby('sen')]
else: else:
raise RuntimeError("Either NER rest endpoint or NER-TAG information within tsv_file required.") raise RuntimeError("Either NER rest endpoint or NER-TAG information within tsv_file required.")
@ -364,7 +366,6 @@ def find_entities(tsv_file, tsv_out_file, ner_rest_endpoint, ned_rest_endpoint,
pd.DataFrame([], columns=out_columns). to_csv(tsv_out_file, sep="\t", quoting=3, index=False) pd.DataFrame([], columns=out_columns). to_csv(tsv_out_file, sep="\t", quoting=3, index=False)
for url_id, part in tsv.groupby('url_id'): for url_id, part in tsv.groupby('url_id'):
with open(tsv_out_file, 'a') as f: with open(tsv_out_file, 'a') as f:
f.write('# ' + urls[url_id] + '\n') f.write('# ' + urls[url_id] + '\n')