cmu.arktweetnlp.impl.ModelSentence Maven / Gradle / Ivy
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package cmu.arktweetnlp.impl;
import java.util.ArrayList;
import java.util.Arrays;
import edu.stanford.nlp.util.Pair;
/**
* One sequence structure -- typically, for one sentence
* This is the model's view of a sentence -- only deals with non-textual numberized versions of everything
*/
public class ModelSentence {
public int T;
/** Runtime inferred, Trainingtime observed.
* dim T
**/
public int labels[];
public double confidences[];
/** Runtime observed, Trainingtime observed.
* This is an array-of-arrays of (featID, featValue) pairs.
* dim T, then variable nnz per t.
**/
public ArrayList>> observationFeatures;
/** Runtime observed, Trainingtime observed (for MEMM).
* dim T st: edgeFeatures[t] = ID of label@(t-1).
* values in 0..(N_labels-1), plus extra higher numbers for markers (see Model)
**/
public int edgeFeatures[];
public ModelSentence(int T) {
this.T = T;
labels = new int[T];
edgeFeatures = new int[T];
observationFeatures = new ArrayList >>();
for (int t=0; t>() );
}
Arrays.fill(labels, -1);
Arrays.fill(edgeFeatures, -1);
}
}