java如何在Windows上设置StanfordCorenlp服务器以返回文本

Question

我正试图在Windows上与斯坦福CoreNLP建立一个本地服务器，以计算超过100万篇文章和视频文本的情绪分数。我不懂Java，所以我需要一些帮助

我成功安装了Stanford CoreNLP 3.6.0，我有一台服务器运行：

java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer

在我的其他计算机上运行这个http帖子，我得到了预期的响应（xxx.xxx.xxx.xxx是服务器的IP地址）：

wget --post-data 'the quick brown fox jumped over the lazy dog' 'xxx.xxx.xxx.xxx:9000/?properties={"tokenize.whitespace": "true", "annotators": "tokenize,ssplit,pos,lemma,parse", "outputFormat": "json"}' -O -

然而，回应并不包含情绪。显而易见的解决方案是添加注释器：

wget --post-data 'the quick brown fox jumped over the lazy dog' 'xxx.xxx.xxx.xxx:9000/?properties={"tokenize.whitespace": "true", "annotators": "tokenize,ssplit,pos,lemma,parse,sentiment", "outputFormat": "json"}' -O -

但是，在服务器端，我遇到了以下错误：

java.lang.IllegalArgumentException: Unknown annotator: sentiment
at edu.stanford.nlp.pipeline.StanfordCoreNLP.ensurePrerequisiteAnnotators(StanfordCoreNLP.java:281)
at edu.stanford.nlp.pipeline.StanfordCoreNLPServer$CoreNLPHandler.getProperties(StanfordCoreNLPServer.java:476)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$CoreNLPHandler.handle(StanfordCoreNLPServer.java:350)
at com.sun.net.httpserver.Filter$Chain.doFilter(Unknown Source)
at sun.net.httpserver.AuthFilter.doFilter(Unknown Source)
at com.sun.net.httpserver.Filter$Chain.doFilter(Unknown Source)
at sun.net.httpserver.ServerImpl$Exchange$LinkHandler.handle(Unknown Source)
at com.sun.net.httpserver.Filter$Chain.doFilter(Unknown Source)
at sun.net.httpserver.ServerImpl$Exchange.run(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.thread.run(Unknown Source)

下一个显而易见的解决方案是在启动服务器时添加一个参数，该服务器运行：

java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -annotators "tokenize,ssplit,pos,lemma,parse,sentiment"

从之前运行相同的http POST分别会给出相同的精确结果和错误

我是做错了什么，还是需要对核心代码进行一些修改才能正常工作？我不懂Java，所以我无法进行这些更改

作为补充说明，这个类似的命令启动一个控制台，似乎可以正确地加载情绪：

java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators "tokenize,ssplit,pos,lemma,parse,sentiment"

[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.TokenizerAnnotator - TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.5 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator parse
[main] INFO edu.stanford.nlp.parser.common.ParserGrammar - Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [0.4 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator sentiment

Entering interactive shell. Type q RETURN or EOF to quit.
NLP> _

Answer 1

尝试使用代码的GitHub version运行。您的第一个解决方案是正确的，它无法找到情感注释器，这是代码中的一个错误：

wget  post-data 'the quick brown fox jumped over the lazy dog' 'xxx.xxx.xxx.xxx:9000/?properties={"annotators": "tokenize,ssplit,pos,lemma,parse,sentiment", "outputFormat": "json"}' -O -

（附带说明：文档中的tokenize.whitespace属性表明可以传入任意属性，但我建议不要在生产中使用它）