edu.stanford.nlp.io.RuntimeIOException:无法连接到服务器

问题描述

我正在尝试使用CoreNLP服务器注释多个句子.但是，如果我尝试使用太多句子来实现这一点，我将得到:

I'm trying to annotate multiple sentences using the CoreNLP server. However, if I try to that with too many sentences I'm getting:

Exception in thread "Thread-48" edu.stanford.nlp.io.RuntimeIOException: Could not connect to server: 192.168.108.60:9000
    at edu.stanford.nlp.pipeline.StanfordCoreNLPClient$2.run(StanfordCoreNLPClient.java:393)
Caused by: java.io.IOException: Server returned HTTP response code: 500 for URL: http://192.168.108.60:9000?properties=%7B+%22inputFormat%22%3A+%22serialized%22%2C+%22outputSerializer%22%3A+%22edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer%22%2C+%22inputSerializer%22%3A+%22edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer%22%2C+%22annotators%22%3A+%22tokenize%2C+ssplit%2C+pos%2C+lemma%2C+ner%2C+parse%2C+dcoref%22%2C+%22outputFormat%22%3A+%22serialized%22+%7D
    at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1840)
    at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1441)
    at edu.stanford.nlp.pipeline.StanfordCoreNLPClient$2.run(StanfordCoreNLPClient.java:381)

如果我只运行10或20个句子，一切都可以正常工作，但是随着它们的数量越来越大，服务器似乎崩溃了，我正在达到超时限制或其他限制-至少这是我对此的唯一解释

Everything is working if I run this for just 10 or 20 sentences but as the number of them gets larger the server seems to crumble and I'm reaching a timeout limit or something - at least that's the only explanation I have for this.

StanfordCoreNLPClient coreNlp = new StanfordCoreNLPClient(props, "192.168.108.60", 9000);

// ..

for(int windowSize : windowSizeList) {

    Map<String, List<TaggedSentence>> aspectMap = new HashMap<>();

    for (int i = 0; i < sentenceList.size(); i++) {

        Annotation document = sentenceList.get(i);

        try {
            coreNlp.annotate(document);
        } catch(Exception e) {
            LOGGER.error("Error", e);
        }

        // ...
    }
}

如何解决此问题?

好的，我发现有一个超时选项:

Okay, I found that there is a timeout option:

props.setProperty("timeout", "50000");

但这无济于事.无论如何，它都在失败-它只需要更长的时间.

but that does not help. It's failing anyways - it just takes longer.

推荐答案

我遇到了类似的问题.就我而言，我想使用共参考分辨率，并通过使用以下注释器解决了该问题:标记化，分割，pos，引理，内在，去稀疏，提及，coref

I had a similar problem. In my case, I wanted to use the coreference resolution and I solved by using the following annotators: tokenize,ssplit,pos,lemma,ner,depparse,mention,coref

• 或以下命令行:

java -Xmx5g -cp stanford-corenlp-3.6.0.jar:stanford-corenlp-models-3.6.0.jar:* edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize tokenize，ssplit，pos，lemma， ner，depparse，mention，coref -file example_file.txt

java -Xmx5g -cp stanford-corenlp-3.6.0.jar:stanford-corenlp-models-3.6.0.jar:* edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,ner,depparse,mention,coref -file example_file.txt

原因是，根据此页面，它的效率更高(相对于速度): http://stanfordnlp.github.io/CoreNLP/coref.html#overview

The reason is that it's more efficient (in relation to speed), according to this page: http://stanfordnlp.github.io/CoreNLP/coref.html#overview

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