Stanford CoreNLP在linux系统中安装与使用

大部分内容来源于：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,  安装java运行环境

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

2,  下载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，  配置环境变量

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

4，  安装

sudo pip3 install stanfordcorenlp

5，  下载中文支持

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') ## 这里是coreNLP的路径，英文去掉 lang='zh'

　　使用方法1：wrapper

sentence = '中国科学院大学位于北京。'
print(nlp.word_tokenize(sentence))
print(nlp.pos_tag(sentence))
print(nlp.ner(sentence))
print(nlp.parse(sentence))
print(nlp.dependency_parse(sentence))

text = '中国科学院大学位于北京' ## 目前测试openie功能异常
output = nlp.annotate(text, properties={
    'annotators': 'tokenize, ssplit, pos, depparse, parse, openie',
    'outputFormat': 'json'
    })

　　使用方法2：启用服务器，据说会快一些

from stanfordcorenlp import StanfordCoreNLP 
nlp = StanfordCoreNLP('http://localhost', port=9000) # 样例源自https://blog.csdn.net/Hallywood/article/details/80154146 未测试
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：命令调用

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<code class="language-html">import subprocess     ## 来源同上样例，未测试
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'])</code>