我正在使用阈值为0.8的NerManager。我要在函数中添加一组非常具体的训练样本（注意：以下是示例代码，显示了大约30％的训练样本）

它正在正确地从输入文本中提取实体“ AB_99876”，但我遇到的问题是它也在提取“ Today”，“ 01/01/2019”，“ test@email.com”和“（（123 ）-456-7890”。

我在做什么错了？

这是示例代码：

const { NerManager } = require('node-nlp');

const manager = new NerManager({ threshold: 0.8 });

manager.addNamedEntityText(
'sample_a','category_a',['en'],['AB_12345','AB_54321','AC_12245','AC_12355','BA_12345','BA_87653','AC_99876','DC_54321','BC_12232'],);

manager.findEntities(
'Today 01/01/2019 is a good day. My email is test@email.com and phone is (123)-456-7890 and the the number I am looking for is AB_99876','en',).then(entities => {
  // I look for the value in the utteranceText field and process the extracted entity for next steps. 
}).catch(err => {
console.log('Error getting entity extracted',err);
})