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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.
package edu.stanford.nlp.patterns;
import java.io.Serializable;
import java.util.Map;
import java.util.Set;
import edu.stanford.nlp.ling.CoreLabel.GenericAnnotation;
import edu.stanford.nlp.util.CollectionValuedMap;
import edu.stanford.nlp.util.ErasureUtils;
public class PatternsAnnotations implements Serializable {
private static final long serialVersionUID = 1L;
public static class ProcessedTextAnnotation implements GenericAnnotation{
public Class getType() {
return String.class;
}
}
public static class MatchedPattern implements GenericAnnotation {
public Class getType() {
return Boolean.class;
}
}
public static class MatchedPatterns implements GenericAnnotation> {
public Class> getType(){
return ErasureUtils.>> uncheckedCast(Set.class);
}
}
/** All matched phrases - can be from multiple labels*/
public static class MatchedPhrases implements GenericAnnotation> {
public Class> getType() {
Class> claz = (Class) Map.class;
return claz;
}
}
/**
* For each label, what was the longest phrase that matched. If none, then the map doesn't have the label key
*/
public static class LongestMatchedPhraseForEachLabel implements GenericAnnotation