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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.

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package edu.stanford.nlp.time;

import edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor;
import edu.stanford.nlp.util.CoreMap;

/**
 * Interface for rules/patterns for transforming
 * time related natural language expressions
 * into temporal representations.
 *
 * Patterns use the TokensRegex language.
 *
 * @author Angel Chang
 */
public interface TimeExpressionPatterns {

  /**
   * Creates a CoreMapExpressionExtractor that knows how
   * to extract time related expressions from text into CoreMaps
   * @return CoreMapExpressionExtractor
   */
  CoreMapExpressionExtractor createExtractor();

  /**
   * Determine how date/times should be resolved for the given temporal
   * expression and its context
   * @param annotation Annotation from which the temporal express was extracted (context)
   * @param te Temporal expression
   * @return flag indicating what resolution scheme to use
   */
  int determineRelFlags(CoreMap annotation, TimeExpression te);

}