pyner 0.0.5

This program is SDK of Ner service API to handle one sentence or simple text file in chinese.

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']}