我有一个用于NLP的Azure LUIS实例， 尝试使用RegEx表达式提取字母数字值。它运行良好，但是输出以小写字母输出。

例如：

案例1 *

我的输入：“为AE0002运行作业” RegExCode = [a-zA-Z]{2}\d+

输出：

{
  "query": " run job for AE0002","topScoringIntent": {
    "intent": "Run Job","score": 0.7897274
  },"intents": [
    {
      "intent": "Run Job","score": 0.7897274
    },{
      "intent": "None","score": 0.00434472738
    }
  ],"entities": [
    {
      "entity": "ae0002","type": "Alpha Number","startIndex": 15,"endIndex": 20
    }
  ]
} 

我需要保持输入的大小写。

案例2

我的输入：“仅提取诸如HP和IBM之类的缩写” RegExCode = [A-Z]{2,}

输出：

{
  "query": "extract only abreaviations like hp and ibm",// Query accepted by LUIS test window
  "query": "extract only abreaviations like HP and IBM",// Query accepted as an endpoint url
  "prediction": {
    "normalizedQuery": "extract only abreaviations like hp and ibm","topIntent": "None","intents": {
      "None": {
        "score": 0.09844558
      }
    },"entities": {
      "Abbre": [
        "extract","only","abreaviations","like","hp","and","ibm"
      ],"$instance": {
        "Abbre": [
          {
            "type": "Abbre","text": "extract","startIndex": 0,"length": 7,"modelTypeId": 8,"modelType": "Regex Entity Extractor","recognitionSources": [
              "model"
            ]
          },{
            "type": "Abbre","text": "only","startIndex": 8,"length": 4,....          
          {
            "type": "Abbre","text": "ibm","startIndex": 39,"length": 3,"recognitionSources": [
              "model"
            ]
          }
        ]
      }
    }
  }
}

这使我怀疑整个培训是否都以小写形式进行。令我震惊的是，最初针对其各自实体培训的所有单词都被重新培训为 Abbre

任何输入都会有很大帮助:)

谢谢