This program is SDK of NER service API to handle one sentence or simple text file.
Project description
ner
SDK to access API of Ner service
This program is SDK of Ner service API.
It can handle one sentence or simple text file by self-hosted NER service or Stanford NER service (http://nlp.stanford.edu:8080/ner/process).
Installation
pip install pyner
Usage
usage: ner.py [-h] [--nertype NERTYPE] [--classifier CLASSIFIER]
[--endpoint ENDPOINT] [--sentence SENTENCE] [--path PATH]
Process one sentence and simple textfile by remote self-NER service or
Stanford NER one.
optional arguments:
-h, --help show this help message and exit
--nertype NERTYPE NER service type,0:self-NER(defualt),1:Stanford-NER
--classifier CLASSIFIER
classifier code of Stanford NER service,including
7class, 4class, 3class, distsim
--endpoint ENDPOINT Endpoint of self-NER service,ignored when Stanford-NER
type
--sentence SENTENCE Sentence to process
--path PATH Path file to process
For instance:
$ python ner.py --endpoint http://example.com/ner/bert/normal --path test.txt --sentence '康龙化成(03759)拟续聘安永华明为2020年度境内会计师事 务所'
{'ORG': ['康龙化成', '安永华明']}
{'LOC': ['新冠', '新疆'],
'ORG': ['华资实业',
'明科',
'中葡',
'亚星',
'厦华',
'中房股份',
'中房股份',
'西域旅游',
'西域旅游',
'丰华股份',
'丰华股份',
'壳公司']}
$ python ner.py --nertype stanford --sentence 'hello, chongqing, intel, IBM, Tecent. Bill Gates said.' --classifier 7class
{'LOC': ['chongqing'],
'ORG': ['intel', 'IBM', 'Tecent'],
'PER': ['Gates']}
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