npm - Watson 对话 api 中的问题选项

Question

我需要获取 Watson 中某个问题的可用选项对话 API？

例如，我有一个对话应用程序，在某些情况下，您需要为用户提供一个列表以从中选择一个选项。

因此，我正在寻找一种方法来获取特定问题的可用回复选项。

Answer 1

我无法回答 NPM 部分，但您可以通过将 alternate_intents 设置为 true 来获取前 10 个可能答案的列表。例如。

{
  "context":{
    "conversation_id":"cbbea7b5-6971-4437-99e0-a82927607079",
    "system":{
      "dialog_stack":["root"
      ],
      "dialog_turn_counter":1,
      "dialog_request_counter":1
    }
  },
  "alternate_intents":true,
  "input":{
    "text":"Is it hot outside?"
  }
}

这最多会返回前十个答案。如果意图数量有限，它只会显示它们。

您的 JSON 响应的一部分将具有如下内容:

  "intents":[{
      "intent":"temperature",
      "confidence":0.9822100598134365
    },
    {
      "intent":"conditions",
      "confidence":0.017789940186563623
    }

这不会从节点获得输出文本。因此，您需要将答案存储在其他地方以供交叉引用。

另请注意，仅仅因为它位于列表中，并不意味着它是向最终用户提供的有效答案。需要考虑置信水平。

置信度也不像正常置信度那样工作。您需要确定您的上限和下限。我detail this briefly here 。

Unlike earlier versions of WEA, the confidence is relative to the number of intents you have. So the quickest way to find the lowest confidence is to send a really ambiguous word.

These are the results I get for determining temperature or conditions.

treehouse = conditions / 0.5940327076534431

goldfish = conditions / 0.5940327076534431

music = conditions / 0.5940327076534431

See a pattern?🙂 So the low confidence level I will set at 0.6. Next is to determine the higher confidence range. You can do this by mixing intents within the same question text. It may take a few goes to get a reasonable result.

These are results from trying this (C = Conditions, T = Temperature).

hot rain = T/0.7710267712183176, C/0.22897322878168241

windy desert = C/0.8597747113239446, T/0.14022528867605547

ice wind = C/0.5940327076534431, T/0.405967292346557

I purposely left out high confidence ones. In this I am going to go with 0.8 as the high confidence level.