Stanford CoreNLP在linux系統中安裝與使用

大部分內容來源於：https://github.com/Yuzhen-Li/yuzhenli.github.io/wiki/Stanford-CoreNLP%E5%9C%A8Ubuntu%E4%B8%8B%E7%9A%84%E5%AE%89%E8%A3%85%E4%B8%8E%E4%BD%BF%E7%94%A8

 

1,  安裝java運行環境

sudo apt-get install default-jre
sudo apt-get install default-jdk

2,  下載stanford corenlp包

wget http://nlp.stanford.edu/software/stanford-corenlp-full-2018-02-27.zip
unzip stanford-corenlp-full-2018-02-27.zip
cd stanford-corenlp-full-2018-02-27/

3，  配置環境變量

for file in `find . -name "*.jar"`; do export CLASSPATH="$CLASSPATH:`realpath $file`"; done

4，  安裝

sudo pip3 install stanfordcorenlp

5，  下載中文支持

wget http://nlp.stanford.edu/software/stanford-chinese-corenlp-2018-02-27-models.jar

6，使用方法

from stanfordcorenlp import StanfordCoreNLP
nlp = StanfordCoreNLP(r'/mnt/f/CMBNLP/stanford-corenlp-full-2018-02-27/', lang='zh') ## 這里是coreNLP的路徑，英文去掉 lang='zh'

　　使用方法1：wrapper

sentence = '中國科學院大學位於北京。'
print(nlp.word_tokenize(sentence))
print(nlp.pos_tag(sentence))
print(nlp.ner(sentence))
print(nlp.parse(sentence))
print(nlp.dependency_parse(sentence))

text = 'UCAS is located in Beijing.' # 據目前所知openie功能不支持中文處理
output = nlp.annotate(text, properties={
    'annotators': 'tokenize, ssplit, pos, depparse, natlog, openie',
    'outputFormat': 'json',
　　 "openie.triple.strict":"true",
　　 "openie.max_entailments_per_clause":"1"

    })
output = json.loads(output)

　　使用方法2：啟用服務器，據說會快一些

from stanfordcorenlp import StanfordCoreNLP 
nlp = StanfordCoreNLP('http://localhost', port=9000) # 樣例源自https://blog.csdn.net/Hallywood/article/details/80154146
sentence = "Kosgi Santosh sent an email to Stanford University. He didn't get a reply"
print('Tokenize:', nlp.coref(sentence))
nlp.close()

　　使用方法3：命令調用

import subprocess     ## 來源同上樣例
subprocess.call(['java','-cp','F:/Program Files/jars/stanford-corenlp-full-2018-02-27/*','-Xmx4g',                   
'edu.stanford.nlp.pipeline.StanfordCoreNLP',"-annotators",                   
"tokenize,ssplit,pos,lemma,ner",'-file','subprocesstest.txt'])