1
votes

In google's api.ai, to process such a sentence:

"What is John Doe's email?"

I create a prebuilt entity called "given-name" and "last-name" to get the name "John Doe"

How to do the same with Microsoft Bot Framework/Luis?

2

2 Answers

0
votes

In Ms LUIS you need to add utterances base on your questions, and assign entity in that phrase. you can refer below links.

http://aihelpwebsite.com/Blog/EntryId/4/Creating-Intelligent-Web-Applications-With-LUIS

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/home

I hope this answer will help you.

0
votes

You don't do it with the Bot Framework, not directly. Bot Framework help you build your conversation flow but doesn't come with built-in NLU. You are likely to use LUIS (also luis.ai) which it supports natively and do your intent detection and entity extraction there. You can also consume your api.ai agent from the Bot Framework if you like. I did that to support a language that LUIS doesn't speak yet (more details - http://www.pveller.com/integrating-bot-framework-with-api-ai/)

UPDATE

Expanding on my comment. Here's how I approached extracting a contact entity in one of my bot prototypes. These are JSON snippets from the exported LUIS model:

"entities": [
    {
      "name": "Contact"
    }
],
"model_features": [
    {
      "name": "Contact",
      "mode": true,
      "words": "John Smith,John Doe,Mary Jay,Robin Smith",
      "activated": true
    }
],
"utterances": [
   {
      "text": "please email to john smith and robin smith",
      "intent": "Email",
      "entities": [
        {
          "entity": "Contact",
          "startPos": 16,
          "endPos": 25
        },
        {
          "entity": "Contact",
          "startPos": 31,
          "endPos": 41
        }
      ]
    }
]