Java 如何使用openNLP检测日期

我想使用openNLP检测句子上的日期。使用id很容易，因为除了myslft提供的培训之外，还有一个现有的模型。有谁能指导我如何用java做这件事吗

• 首次从（英文版-en标签）下载日期名称查找器型号
• 同时下载

  标记器型号

  。因为名称查找器模型的输入应该是标记化的数组
• 将它们添加到项目文件夹或其他地方

加载两种型号

try {
  TokenizerModel model1 = new TokenizerModel(modelIn2);
  TokenNameFinderModel model2 = new TokenNameFinderModel(modelIn1);
}
catch (IOException e) {
  e.printStackTrace();
}
finally {
  if (modelIn1 != null) {
    try {
      modelIn1.close();
    }
    catch (IOException e) {
    }
  }
  if (modelIn2 != null) {
    try {
      modelIn2.close();
    }
    catch (IOException e) {
    }
  }
}

String tokens[] = tokenizer.tokenize("An input sample sentence.");

Span nameSpans[] = nameFinder.find(tokens);

创建标记器模型和NameFindModel

try {
  TokenizerModel model1 = new TokenizerModel(modelIn2);
  TokenNameFinderModel model2 = new TokenNameFinderModel(modelIn1);
}
catch (IOException e) {
  e.printStackTrace();
}
finally {
  if (modelIn1 != null) {
    try {
      modelIn1.close();
    }
    catch (IOException e) {
    }
  }
  if (modelIn2 != null) {
    try {
      modelIn2.close();
    }
    catch (IOException e) {
    }
  }
}

String tokens[] = tokenizer.tokenize("An input sample sentence.");

Span nameSpans[] = nameFinder.find(tokens);

然后加载TokenizerME和NameFinderME

Tokenizer tokenizer = new TokenizerME(model1);
NameFinderME nameFinder = new NameFinderME(model2);

然后从标记器模型获取标记

try {
  TokenizerModel model1 = new TokenizerModel(modelIn2);
  TokenNameFinderModel model2 = new TokenNameFinderModel(modelIn1);
}
catch (IOException e) {
  e.printStackTrace();
}
finally {
  if (modelIn1 != null) {
    try {
      modelIn1.close();
    }
    catch (IOException e) {
    }
  }
  if (modelIn2 != null) {
    try {
      modelIn2.close();
    }
    catch (IOException e) {
    }
  }
}

String tokens[] = tokenizer.tokenize("An input sample sentence.");

Span nameSpans[] = nameFinder.find(tokens);

然后将此令牌数组作为参数发送给namefinder model

try {
  TokenizerModel model1 = new TokenizerModel(modelIn2);
  TokenNameFinderModel model2 = new TokenNameFinderModel(modelIn1);
}
catch (IOException e) {
  e.printStackTrace();
}
finally {
  if (modelIn1 != null) {
    try {
      modelIn1.close();
    }
    catch (IOException e) {
    }
  }
  if (modelIn2 != null) {
    try {
      modelIn2.close();
    }
    catch (IOException e) {
    }
  }
}

String tokens[] = tokenizer.tokenize("An input sample sentence.");

Span nameSpans[] = nameFinder.find(tokens);

这将把它转换为字符串形式的预测日期数组

String[] array=Span.spansToStrings(nameSpans,tokens);