stanford core nlp java输出

我是Java和Stanford NLP工具包的新手，并尝试将它们用于项目。 具体来说，我正在尝试使用Stanford Corenlp工具包来注释文本（使用Netbeans而不是命令行），我尝试使用http://nlp.stanford.edu/software/corenlp.shtml#Usage上提供的代码（使用Stanford CoreNLP API）..问题是：有人能告诉我如何在文件中获取输出以便我可以进一步处理它吗？

我已经尝试将图形和句子打印到控制台，只是为了查看内容。 这样可行。 基本上我需要的是返回带注释的文档，这样我就可以从我的主类中调用它并输出一个文本文件（如果可能的话）。 我正在尝试查看stanford corenlp的API，但由于缺乏经验，我不知道返回此类信息的最佳方法是什么。

这是代码：

Properties props = new Properties(); props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref"); StanfordCoreNLP pipeline = new StanfordCoreNLP(props); // read some text in the text variable String text = "the quick fox jumps over the lazy dog"; // create an empty Annotation just with the given text Annotation document = new Annotation(text); // run all Annotators on this text pipeline.annotate(document); // these are all the sentences in this document // a CoreMap is essentially a Map that uses class objects as keys and has values with custom types List sentences = document.get(SentencesAnnotation.class); for(CoreMap sentence: sentences) { // traversing the words in the current sentence // a CoreLabel is a CoreMap with additional token-specific methods for (CoreLabel token: sentence.get(TokensAnnotation.class)) { // this is the text of the token String word = token.get(TextAnnotation.class); // this is the POS tag of the token String pos = token.get(PartOfSpeechAnnotation.class); // this is the NER label of the token String ne = token.get(NamedEntityTagAnnotation.class); } // this is the parse tree of the current sentence Tree tree = sentence.get(TreeAnnotation.class); // this is the Stanford dependency graph of the current sentence SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class); } // This is the coreference link graph // Each chain stores a set of mentions that link to each other, // along with a method for getting the most representative mention // Both sentence and token offsets start at 1! Map graph = document.get(CorefChainAnnotation.class); 

Answer 1

一旦您拥有代码示例中显示的任何或所有自然语言分析，您需要做的就是以普通的Java方式将它们发送到文件，例如，使用FileWriter进行文本格式输出。 具体来说，这是一个简单的完整示例，显示发送到文件的输出（如果您给它适当的命令行参数）：

 import java.io.*; import java.util.*; import edu.stanford.nlp.io.*; import edu.stanford.nlp.ling.*; import edu.stanford.nlp.pipeline.*; import edu.stanford.nlp.trees.*; import edu.stanford.nlp.util.*; public class StanfordCoreNlpDemo { public static void main(String[] args) throws IOException { PrintWriter out; if (args.length > 1) { out = new PrintWriter(args[1]); } else { out = new PrintWriter(System.out); } PrintWriter xmlOut = null; if (args.length > 2) { xmlOut = new PrintWriter(args[2]); } StanfordCoreNLP pipeline = new StanfordCoreNLP(); Annotation annotation; if (args.length > 0) { annotation = new Annotation(IOUtils.slurpFileNoExceptions(args[0])); } else { annotation = new Annotation("Kosgi Santosh sent an email to Stanford University. He didn't get a reply."); } pipeline.annotate(annotation); pipeline.prettyPrint(annotation, out); if (xmlOut != null) { pipeline.xmlPrint(annotation, xmlOut); } // An Annotation is a Map and you can get and use the various analyses individually. // For instance, this gets the parse tree of the first sentence in the text. List sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class); if (sentences != null && sentences.size() > 0) { CoreMap sentence = sentences.get(0); Tree tree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class); out.println(); out.println("The first sentence parsed is:"); tree.pennPrint(out); } } }