edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation.getSentenceFromToken()方法的使用及代码示例

x33g5p2x  于2022-01-30 转载在 其他  
字(9.3k)|赞(0)|评价(0)|浏览(79)

本文整理了Java中edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation.getSentenceFromToken()方法的一些代码示例，展示了TextAnnotation.getSentenceFromToken()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。TextAnnotation.getSentenceFromToken()方法的具体详情如下：
包路径：edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation
类名称：TextAnnotation
方法名：getSentenceFromToken

TextAnnotation.getSentenceFromToken介绍

[英]Gets the sentence containing the specified token
[中]获取包含指定标记的句子

代码示例

代码示例来源：origin: CogComp/cogcomp-nlp

@Override
public Set<Feature> getWordFeatures(TextAnnotation ta, int wordPosition) throws EdisonException {
  Sentence sentence = ta.getSentenceFromToken(wordPosition);
  int sentenceStart = sentence.getStartSpan();
  int predicatePosition = wordPosition - sentenceStart;
  Tree<String> tree = ParseHelper.getParseTree(parseViewName, sentence);
  Tree<Pair<String, IntPair>> spanLabeledTree = ParseUtils.getSpanLabeledTree(tree);
  Tree<Pair<String, IntPair>> currentNode =
      spanLabeledTree.getYield().get(predicatePosition).getParent();
  String f = getVoice(currentNode);
  return new LinkedHashSet<Feature>(Collections.singletonList(DiscreteFeature.create(f)));
}

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-edison

@Override
public Set<Feature> getWordFeatures(TextAnnotation ta, int wordPosition) throws EdisonException {
  Sentence sentence = ta.getSentenceFromToken(wordPosition);
  int sentenceStart = sentence.getStartSpan();
  int predicatePosition = wordPosition - sentenceStart;
  Tree<String> tree = ParseHelper.getParseTree(parseViewName, sentence);
  Tree<Pair<String, IntPair>> spanLabeledTree = ParseUtils.getSpanLabeledTree(tree);
  Tree<Pair<String, IntPair>> currentNode =
      spanLabeledTree.getYield().get(predicatePosition).getParent();
  String f = getVoice(currentNode);
  return new LinkedHashSet<Feature>(Collections.singletonList(DiscreteFeature.create(f)));
}

代码示例来源：origin: CogComp/cogcomp-nlp

Sentence currSentence = ta.getSentenceFromToken(currSpan.getFirst());
IntPair sentenceSpan = currSentence.getSentenceConstituent().getSpan();
View PosView = ta.getView("POS");

代码示例来源：origin: CogComp/cogcomp-nlp

/**
 * Check if the Constituent is a start of a sentence
 * The size of the Constituent should be 1
 */
public static String isSentenceStart (Constituent c){
  Sentence sentence = c.getTextAnnotation().getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  if (c.getStartSpan() == sentenceStart){
    return "1";
  }
  return "0";
}

代码示例来源：origin: edu.illinois.cs.cogcomp/md

/**
 * Check if the Constituent is a start of a sentence
 * The size of the Constituent should be 1
 */
public static String isSentenceStart (Constituent c){
  Sentence sentence = c.getTextAnnotation().getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  if (c.getStartSpan() == sentenceStart){
    return "1";
  }
  return "0";
}

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-md

/**
 * Check if the Constituent is a start of a sentence
 * The size of the Constituent should be 1
 */
public static String isSentenceStart (Constituent c){
  Sentence sentence = c.getTextAnnotation().getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  if (c.getStartSpan() == sentenceStart){
    return "1";
  }
  return "0";
}

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-time

Sentence currSentence = ta.getSentenceFromToken(currSpan.getFirst());
IntPair sentenceSpan = currSentence.getSentenceConstituent().getSpan();
View PosView = ta.getView("POS");

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-relation-extraction

/**
 * Helper function for print essential information of a relation
 * @param r Input Relation
 */
public static void printRelation (Relation r){
  TextAnnotation ta = r.getSource().getTextAnnotation();
  Constituent source = r.getSource();
  Constituent target = r.getTarget();
  Constituent source_head = RelationFeatureExtractor.getEntityHeadForConstituent(source, ta, "");
  Constituent target_head = RelationFeatureExtractor.getEntityHeadForConstituent(target, ta, "");
  System.out.println(ta.getSentenceFromToken(source.getStartSpan()));
  System.out.println(r.getRelationName());
  System.out.println(r.getAttribute("RelationType") + ":" + r.getAttribute("RelationSubtype"));
  System.out.println(source.toString() + " || " + target.toString());
  System.out.println(source_head.toString() + " || " + target_head.toString());
}

代码示例来源：origin: CogComp/cogcomp-nlp

System.out.println(goldMention.getTextAnnotation().getSentenceFromToken(goldMention.getStartSpan()).toString());
System.out.println(goldMention.toString() + " " + goldMention.getAttribute("EntityType") + " " + predictMention.getAttribute("EntityType"));
System.out.println();

代码示例来源：origin: edu.illinois.cs.cogcomp/md

System.out.println(goldMention.getTextAnnotation().getSentenceFromToken(goldMention.getStartSpan()).toString());
System.out.println(goldMention.toString() + " " + goldMention.getAttribute("EntityType") + " " + predictMention.getAttribute("EntityType"));
System.out.println();

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-md

System.out.println(goldMention.getTextAnnotation().getSentenceFromToken(goldMention.getStartSpan()).toString());
System.out.println(goldMention.toString() + " " + goldMention.getAttribute("EntityType") + " " + predictMention.getAttribute("EntityType"));
System.out.println();

代码示例来源：origin: CogComp/cogcomp-nlp

/**
 * Get the form/lemma features of a given Constituent.
 * The size of the Constituent should be 1
 */
public static List<Pair<Integer, String>> getWordFormFeatures (Constituent c){
  List<Pair<Integer, String>> ret_features = new ArrayList<>();
  TextAnnotation ta = c.getTextAnnotation();
  Sentence sentence = ta.getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  int sentenceEnd = sentence.getEndSpan();
  if (c.getStartSpan() > sentenceStart){
    ret_features.add(new Pair<>(-1, ta.getToken(c.getStartSpan() - 1)));
    ret_features.add(new Pair<>(-1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() - 1))));
  }
  ret_features.add(new Pair<>(0, ta.getToken(c.getStartSpan())));
  ret_features.add(new Pair<>(0, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan()))));
  if (c.getEndSpan() < sentenceEnd){
    ret_features.add(new Pair<>(1, ta.getToken(c.getStartSpan() + 1)));
    ret_features.add(new Pair<>(1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 1))));
  }
  if (c.getEndSpan() < sentenceEnd - 1){
    ret_features.add(new Pair<>(2, ta.getToken(c.getStartSpan() + 2)));
    ret_features.add(new Pair<>(2, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 2))));
  }
  return ret_features;
}

代码示例来源：origin: edu.illinois.cs.cogcomp/md

/**
 * Get the form/lemma features of a given Constituent.
 * The size of the Constituent should be 1
 */
public static List<Pair<Integer, String>> getWordFormFeatures (Constituent c){
  List<Pair<Integer, String>> ret_features = new ArrayList<>();
  TextAnnotation ta = c.getTextAnnotation();
  Sentence sentence = ta.getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  int sentenceEnd = sentence.getEndSpan();
  if (c.getStartSpan() > sentenceStart){
    ret_features.add(new Pair<>(-1, ta.getToken(c.getStartSpan() - 1)));
    ret_features.add(new Pair<>(-1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() - 1))));
  }
  ret_features.add(new Pair<>(0, ta.getToken(c.getStartSpan())));
  ret_features.add(new Pair<>(0, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan()))));
  if (c.getEndSpan() < sentenceEnd){
    ret_features.add(new Pair<>(1, ta.getToken(c.getStartSpan() + 1)));
    ret_features.add(new Pair<>(1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 1))));
  }
  if (c.getEndSpan() < sentenceEnd - 1){
    ret_features.add(new Pair<>(2, ta.getToken(c.getStartSpan() + 2)));
    ret_features.add(new Pair<>(2, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 2))));
  }
  return ret_features;
}

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-md

/**
 * Get the form/lemma features of a given Constituent.
 * The size of the Constituent should be 1
 */
public static List<Pair<Integer, String>> getWordFormFeatures (Constituent c){
  List<Pair<Integer, String>> ret_features = new ArrayList<>();
  TextAnnotation ta = c.getTextAnnotation();
  Sentence sentence = ta.getSentenceFromToken(c.getStartSpan());
  int sentenceStart = sentence.getStartSpan();
  int sentenceEnd = sentence.getEndSpan();
  if (c.getStartSpan() > sentenceStart){
    ret_features.add(new Pair<>(-1, ta.getToken(c.getStartSpan() - 1)));
    ret_features.add(new Pair<>(-1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() - 1))));
  }
  ret_features.add(new Pair<>(0, ta.getToken(c.getStartSpan())));
  ret_features.add(new Pair<>(0, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan()))));
  if (c.getEndSpan() < sentenceEnd){
    ret_features.add(new Pair<>(1, ta.getToken(c.getStartSpan() + 1)));
    ret_features.add(new Pair<>(1, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 1))));
  }
  if (c.getEndSpan() < sentenceEnd - 1){
    ret_features.add(new Pair<>(2, ta.getToken(c.getStartSpan() + 2)));
    ret_features.add(new Pair<>(2, MyString.normalizeDigitsForFeatureExtraction(ta.getToken(c.getStartSpan() + 2))));
  }
  return ret_features;
}

内容来源于网络，如有侵权，请联系作者删除！

TextAnnotation

相关文章

    查看更多
    微信公众号

    热门标签

    更多
    JavaquerypythonNode开发语言requestUtil数据库Table后端算法LoggerMessageElementParser

    最新文章

    更多
    • 蜀ICP备13028337号-1 大数据知识库 https://www.saoniuhuo.com © All rights reserved
    • 本站内容来源互联网,如果侵犯您的权益请联系我们删除, 联系方式：448109455@qq.com