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Amazon Lex
Developer Guide

Custom Slot Types

For each intent, you can specify parameters that indicate the information that the intent needs to fulfill the user's request. These parameters, or slots, have a type. A slot type is a list of values that Amazon Lex uses to train the machine learning model to recognize values for a slot. For example, you can define a slot type called "Genres." Each value in the slot type is the name of a genre, "comedy," "adventure," "documentary," etc. You can define a synonym for a slot type value. For example, you can define the synonyms "funny" and "humorous" for the value "comedy."

You can configure the slot type to restrict resolution to the slot values. The slot values will be used as an enumeration and the value entered by the user will be resolved to the slot value only if it is the same as one of the slot values or a synonym. A synonym is resolved to the corresponding slot value. For example, if the user enters "funny" it will resolve to the slot value "comedy."

Alternately, you can configure the slot type to expand the values. Slot values will be used as training data and the slot is resolved to the value provided by the user if it is similar to the slot values and synonyms. This is the default behavior.

Amazon Lex maintains a list of possible resolutions for a slot. Each entry in the list provides a resolution value that Amazon Lex recognized as additional possibilities for the slot. A resolution value is the best effort to match the slot value. The list contains up to five values.

When the value entered by the user is a synonym, the first entry in the list of resolution values is the slot type value. For example, if the user enters "funny," the slots field contains "funny" and the first entry in the slotDetails field is "comedy." You can configure the valueSelectionStrategy when you create or update a slot type with the PutSlotType operation so that the slot value is filled with the first value in the resolution list.

If you are using a Lambda function, the input event to the function includes a resolution list called slotDetails. The following example shows the slot and slot details section of the input to a Lambda function:


   "slots": {
      "MovieGenre": "funny";
   },
   "slotDetails": {
      "Movie": {
         "resolutions": [
            "value": "comedy"
         ]
      }
   }   

For each slot type, you can define a maximum of 10,000 values and synonyms. Each bot can have a total number of 50,000 slot type values and synonyms.