Alexa忽略样本话语中的“到达”并映射到错误的意图

Question

我为我的 Alexa Skill 设置了两个意图，NextTrainIntent 和 TrainArrivalIntent。在我的示例话语中，我将它们映射如下：

NextTrainIntent what is the next train to {DestinationCity}
NextTrainIntent what's the next train to {DestinationCity}
NextTrainIntent when is the next train to {DestinationCity}
NextTrainIntent when is the next train from {OriginCity}
NextTrainIntent when is the next train from {OriginCity} to {DestinationCity}
NextTrainIntent when is the next train
TrainArrivalIntent when does train {TrainNumber} arrive at {DestinationCity}
TrainArrivalIntent when does train {TrainNumber} arrive 
TrainArrivalIntent when does train {TrainNumber} get in 
...

当我使用亚马逊的服务模拟器对此进行测试时，如果我输入以下语句作为文本：“火车 9306 何时到达”，则 服务请求 json 显示它已将话语映射到 NextTrainIntent，即使它与 TrainArivalIntent 的示例话语完全匹配：

"request": {
  "type": "IntentRequest",
  "requestId": "EdwRequestId.ccafa51d-38de-4500-b17b-f94bbee1ad93",
  "intent": {
    "name": "NextTrainIntent",

但是，如果我测试该话语：“火车 9305 何时进入”，它会正确映射到 TrainArrivalIntent。

"request": {
  "type": "IntentRequest",
  "requestId": "EdwRequestId.7a415e55-14b3-4789-9a83-0f6cf2f16a6c",
  "intent": {
    "name": "TrainArrivalIntent",

这里有什么问题？在这种情况下，“到达”这个词的存在对于辨别两种意图至关重要。但是，Alexa 似乎忽略了它。我怎样才能让它“到达”被使用？

Answer 1

我从我的样本中删除了“what is the”和“when is”语句，它开始工作了。

NextTrainIntent next train from {OriginCity} to {DestinationCity}
NextTrainToFromIntent next train to {DestinationCity} from {OriginCity}
TrainArrivalIntent train {TrainNumber} arrive at {DestinationCity}
TrainArrivalIntent train {TrainNumber} arrive 
TrainArrivalIntent train {TrainNumber} get in 
TrainArrivalIntent train {TrainNumber} arrive at {DestinationCity}
TrainArrivalIntent train {TrainNumber} get in to {DestinationCity}
TrainArrivalIntent train number {TrainNumber} arrive at {DestinationCity}
TrainArrivalIntent train number {TrainNumber} get in to {DestinationCity}
TrainArrivalIntent train number {TrainNumber} arrive 
TrainArrivalIntent train number {TrainNumber} get in

因为上面的语音示例还有一些其他变化，所以我不肯定删除问题前缀是解决问题的原因。与机器学习一样，您通常无法回答“为什么”某些东西有效。不管是什么原因，上述示例话语确实使问题中的话语得到了正确识别。