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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.coref.hybrid.rf;
import java.io.Serializable;
public class DecisionTreeNode implements Serializable {
private static final long serialVersionUID = 8566766017320577273L;
int idx; // if not leaf, feature index. if leaf, idx=1 -> true, idx=0 -> false.
float split; // if not leaf, split point. if leaf, true probability.
DecisionTreeNode[] children; // go left if value is less than split
DecisionTreeNode() {
idx = -1;
split = Float.NaN;
children = null;
}
public DecisionTreeNode(int label, float prob) {
this();
idx = label;
split = prob;
}
public DecisionTreeNode(int idx, float split, DecisionTreeNode[] children) {
this.idx = idx;
this.split = split;
this.children = children;
}
public boolean isLeaf() {
return (children==null);
}
}