Java CoreMap.get方法代碼示例

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public int getStanfordSentimentRate(String sentimentText) {
    Properties props = new Properties();
    props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
    //StanfordCoreNLP
    int totalRate = 0;
    String[] linesArr = sentimentText.split("\\.");
    for (int i = 0; i < linesArr.length; i++) {
        if (linesArr[i] != null) {
            Annotation annotation = pipeline.process(linesArr[i]);
            for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
                Tree tree = sentence.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);
                int score = RNNCoreAnnotations.getPredictedClass(tree);
                totalRate = totalRate + (score - 2);
            }
        }
    }
    return totalRate;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
protected void annotate(StanfordCoreNLP pipeline, Annotation ann) {
	if (ann.get(CoreAnnotations.SentencesAnnotation.class) == null) {
		pipeline.annotate(ann);
	}
	else {
		if (ann.get(CoreAnnotations.SentencesAnnotation.class).size() == 1) {
			CoreMap sentence = ann.get(CoreAnnotations.SentencesAnnotation.class).get(0);

			for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
				token.remove(NaturalLogicAnnotations.OperatorAnnotation.class);
				token.remove(NaturalLogicAnnotations.PolarityAnnotation.class);
			}

			sentence.remove(NaturalLogicAnnotations.RelationTriplesAnnotation.class);
			sentence.remove(NaturalLogicAnnotations.EntailedSentencesAnnotation.class);
			sentence.remove(SemanticGraphCoreAnnotations.BasicDependenciesAnnotation.class);
			sentence.remove(SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation.class);
			sentence.remove(SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation.class);

			pipeline.annotate(ann);
		}
	}
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static String traffer(String word) {
    List<String> lemmas = new LinkedList<String>();
    // create an empty Annotation just with the given text
    Annotation document = new Annotation(word);
    // run all Annotators on this text
    stanfordCoreNLP.annotate(document);
    // Iterate over all of the sentences found
    List<CoreMap> sentences = document.get(SentencesAnnotation.class);
    for (CoreMap sentence : sentences) {
        // Iterate over all tokens in a sentence
        for (CoreLabel token : sentence.get(TokensAnnotation.class)) {
            // Retrieve and add the lemma for each word into the list of lemmas
            lemmas.add(token.get(LemmaAnnotation.class));
        }
    }
    if (lemmas.size() != 1) {
        System.out.println("bug!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!");
    }
    return lemmas.get(0);
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
/** @return Lemmatized string, input string can be a word, sentence or paragraph */
public static String lemmatizer(String string) {
	List<String> lemmas = new ArrayList<>();
	// create an empty Annotation just with the given text
	Annotation annotation = new Annotation(string);
	// run all Annotators on this string
	pipeline.annotate(annotation);
	// Iterate over all of the sentences found
	List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
	for (CoreMap sentence : sentences) {
		// Iterate over all tokens in a sentence
		for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
			// Retrieve and add the lemma for each word into the list of lemmas
			lemmas.add(token.get(CoreAnnotations.LemmaAnnotation.class));
		}
	}
	return String.join(" ", lemmas);
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public Pair<List<String>, List<String>> tagAndTokenize(String documentText)
{
	List<String> tags = new ArrayList<String>();
	List<String> tokens = new ArrayList<String>();

	// create an empty Annotation just with the given text
	Annotation document = new Annotation(documentText);

	// run all Annotators on this text
	this.parser.annotate(document);

	// Iterate over all of the sentences found
	List<CoreMap> sentences = document.get(SentencesAnnotation.class);
	for(CoreMap sentence: sentences) {
		// Iterate over all tokens in a sentence
		for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
			// Retrieve and add the lemma for each word into the
			// list of lemmas
			tags.add(token.get(PartOfSpeechAnnotation.class));
			tokens.add(token.word());
		}
	}

	return new Pair<List<String>, List<String>>(tags, tokens);
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public List<String> tag(String documentText)
{
	List<String> tags = new ArrayList<String>();

	// create an empty Annotation just with the given text
	Annotation document = new Annotation(documentText);

	// run all Annotators on this text
	this.parser.annotate(document);

	// Iterate over all of the sentences found
	List<CoreMap> sentences = document.get(SentencesAnnotation.class);
	for(CoreMap sentence: sentences) {
		// Iterate over all tokens in a sentence
		for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
			// Retrieve and add the lemma for each word into the
			// list of lemmas
			tags.add(token.get(PartOfSpeechAnnotation.class));
		}
	}

	return tags;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static int findSentiment(String tweet) {

		int mainSentiment = 0;
		if (tweet != null && tweet.length() > 0) {
			int longest = 0;
			Annotation annotation = pipeline.process(tweet);
			for (CoreMap sentence : annotation
					.get(CoreAnnotations.SentencesAnnotation.class)) {
				Tree tree = sentence
						.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);
				int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
				String partText = sentence.toString();
				if (partText.length() > longest) {
					mainSentiment = sentiment;
					longest = partText.length();
				}

			}
		}
		return mainSentiment;
	}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static List<String> extractNER(String doc){
    Annotation document = new Annotation(doc);

    pipeline.annotate(document);
    List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
    List<String> result = new ArrayList<String>();
    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(CoreAnnotations.TokensAnnotation.class)) {
            // this is the text of the token
            String word = token.get(CoreAnnotations.TextAnnotation.class);
            // this is the NER label of the token
            String ne = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
            result.add(ne);
            System.out.println(word + "\t" + ne);
        }
    }
    return result;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
/**
 * Create the observed MWEs in the text
 * @param props the properties
 * @param text the text
 * @return the observed MWEs in the text
 */
protected List<String> getObservedMWEs(Properties props, String text) {
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
    // create an Annotation with the text
    Annotation document = new Annotation(text);
    
    // run the Annotators on the text
    pipeline.annotate(document);
    
    // construct observed
    List<CoreMap> sentences = document.get(SentencesAnnotation.class);
    List<String> mwe_observed = new ArrayList<>();
    for(CoreMap sentence: sentences) {
      for (IMWE<IToken> mwe: sentence.get(JMWEAnnotation.class)) {
          mwe_observed.add(mwe.getForm());
        }
    }
    return mwe_observed;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static HashMap<RelationTriple, String> extract(String doc) {

        Annotation ann = new Annotation(doc);
        pipeline.annotate(ann);
        HashMap<RelationTriple, String> relations = new HashMap<RelationTriple, String>();

        for (CoreMap sentence : ann.get(CoreAnnotations.SentencesAnnotation.class)) {
            for(RelationTriple r : sentence.get(CoreAnnotations.KBPTriplesAnnotation.class)){
                if(r.relationGloss().trim().equals("per:title")
                        || r.relationGloss().trim().equals("per:employee_of")
                        || r.relationGloss().trim().equals("org:top_members/employees")){
                    relations.put(r, sentence.toString());
                }
            }
        }
        return relations;
    }
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
@Override
public Gender getGender(String name) {
	Annotation document = new Annotation(name);

	pipeline.annotate(document);

	for (CoreMap sentence : document.get(CoreAnnotations.SentencesAnnotation.class)) {
		for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
			String gender = token.get(MachineReadingAnnotations.GenderAnnotation.class);
			// System.out.println(token + ":" + gender);
			if (gender != null) {
				if (gender.equals("MALE")) {
					return Gender.MALE;
				} else if (gender.equals("FEMALE")) {
					return Gender.FEMALE;
				}
			}
		}
	}
	return Gender.UNKNOWN;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static HashMap<RelationTriple, String> extract(String doc) {

        Annotation ann = new Annotation(doc
                .replaceAll("\u00a0", " ")
                .replaceAll("\u200B|\u200C|\u200D|\uFEFF", ""));
        pipeline.annotate(ann);
        HashMap<RelationTriple, String> relations = new HashMap<RelationTriple, String>();

        for (CoreMap sentence : ann.get(CoreAnnotations.SentencesAnnotation.class)) {
            for (RelationTriple r : sentence.get(CoreAnnotations.KBPTriplesAnnotation.class)) {
                if (r.relationGloss().trim().equals("per:title")
                        || r.relationGloss().trim().equals("per:employee_of")
                        || r.relationGloss().trim().equals("org:top_members/employees")
                        || r.relationGloss().trim().equals("per:former_title")) {
                    relations.put(r, sentence.toString());
                }
            }
        }
        return relations;
    }
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public LinkedList<String> simpleTokenization(String text) {
    LinkedList<String> res = new LinkedList<>();
    if (text != null) {
        Annotation qaTokens = new Annotation(text);
        pipelineTokens.annotate(qaTokens);
        List<CoreMap> qssTokens = qaTokens.get(CoreAnnotations.SentencesAnnotation.class);
        for (CoreMap sentenceTokens : qssTokens) {
            ArrayList<CoreLabel> tokens = (ArrayList<CoreLabel>) sentenceTokens.get(CoreAnnotations.TokensAnnotation.class);
            for (CoreLabel t : tokens) {
                String lemma = t.lemma();
                String pos = t.tag();
                if ((pos.startsWith("N") || pos.startsWith("V")) && !stopwords.contains(lemma)) {
                    res.add(lemma);
                }
            }
        }
    }
    return res;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
public static List<String> extractNER(String doc){
    Annotation document = new Annotation(doc);

    pipeline.annotate(document);
    List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
    List<String> result = new ArrayList<String>();
    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(CoreAnnotations.TokensAnnotation.class)) {
            // this is the text of the token
            String word = token.get(CoreAnnotations.TextAnnotation.class);
            // this is the POS tag of the token
            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
            // this is the NER label of the token
            String ne = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
            result.add(ne);
        }
    }
    return result;
}
 

import edu.stanford.nlp.util.CoreMap; //導入方法依賴的package包/類
@Override
public void annotate(Annotation annotation) {

    int tk = 0;

    if (annotation.has(CoreAnnotations.SentencesAnnotation.class)) {
        for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
            List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);

            for (int i = 0, sz = tokens.size(); i < sz; i++) {
                CoreLabel thisToken = tokens.get(i);
                thisToken.set(CoreAnnotations.PartOfSpeechAnnotation.class, pos[tk++].toUpperCase());
            }
        }
    } else {
        throw new RuntimeException("unable to find words/tokens in: " + annotation);
    }

}