如何使用Amazon Lex获取意图评分/置信度？

Absolutely! Unlike some might assume, Amazon Lex does return confidence scores just like LUIS, Watson, and Dialogflow—you just need to know where to find them in the response payloads. Let’s break this down:

Intent Recognition Confidence #

In Amazon Lex V2 (the current supported version), every recognized intent includes a confidenceScore field, which ranges from 0 (lowest confidence) to 1 (highest confidence). When you call APIs like RecognizeText or RecognizeUtterance, you’ll see this in the response JSON:

{
  "sessionState": {
    "intent": {
      "name": "BookFlightIntent",
      "confidenceScore": 0.94,
      "state": "Fulfilled"
      // Other intent-related fields
    }
  }
}

If you’ve enabled intent ranking for your bot, you’ll also get an interpretations array in the response. This array lists all candidate intents the bot considered, each with its own confidenceScore—super useful if you want to handle ambiguous user inputs.

Slot Confidence Scores #

For even more granular control, Lex V2 also provides confidence scores for individual slot values. Each filled slot in the response includes a confidence score tied to its interpreted value:

{
  "sessionState": {
    "intent": {
      "slots": {
        "DestinationCity": {
          "value": {
            "interpretedValue": "Paris",
            "confidenceScore": 0.89
          }
        }
      }
    }
  }
}

Quick Note for Lex V1 Users #

If you’re still using the legacy Lex V1 (now in maintenance mode), you can find intent confidence in the intentConfidence field of the response. It uses a slightly different structure but serves the same purpose.

Just make sure your bot is configured to return these scores—they’re enabled by default in Lex V2, so you shouldn’t need to tweak any settings unless you’ve explicitly turned them off.

内容的提问来源于stack exchange，提问作者comalex3