如何从 java 中的文本文件中读取数据以使用 StanfordNLP 提取数据，而不是从简单的字符串中读取文本

Question

我尝试使用 注释文档 = new Annotation("这是一个简单的字符串"); 也试过 CoreDocument coreDocument = new CoreDocument(文本); stanfordCoreNLP.annotate(coreDocument); 但无法解决它从文本文件中读取

Answer 1

如下使用（见here给出的例子）：

// creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution 
Properties props = new Properties();
props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

// read some text from the file..
File inputFile = new File("src/test/resources/sample-content.txt");
String text = Files.asCharSource(inputFile, Charset.forName("UTF-8")).read();

// 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<CoreMap> 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);
    
    System.out.println("word: " + word + " pos: " + pos + " ne:" + ne);
  }

更新

或者，为了读取文件内容，您可以使用下面使用 Java 内置包的内容；因此，不需要外部包。根据文本文件中的字符，您可以选择适当的Charset。如here 所述，“ISO-8859-1 是一个包罗万象的字符集，从某种意义上说，它保证不会抛出MalformedInputException”。下面使用Charset。

import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

...
        Path path = Paths.get("sample-content.txt");
        String text = "";
        try {
            text = Files.readString(path, StandardCharsets.ISO_8859_1); //StandardCharsets.UTF_8
        } catch (IOException e) {
            e.printStackTrace();
        }