OVERVIEW
Virtual Assistants
Kore.ai Platform
Key Concepts
Natural Language Processing (NLP)
Accessing Platform
VIRTUAL ASSISTANTS
Virtual Assistant Builder
Virtual Assistant Types
Getting Started
Creating a Simple Bot
SKILLS
Storyboard
Dialog Task
Introduction
Dialog Builder (New)
Dialog Builder (Legacy)
User Intent Node
Dialog Node
Entity Node
Supported Entity Types
Composite Entities
Supported Colors
Supported Company Names
Form Node
Logic Node
Message Nodes
Confirmation Nodes
Bot Action Node
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Manage Dialogs
User Prompts
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Build
Alert Tasks
Introduction
Ignore Words and Field Memory
How to Schedule a Smart Alert
Small Talk
Digital Views
Overview
Configuring Digital Views
Digital Forms
Overview
How to Configure Digital Forms
NATURAL LANGUAGE
Overview
Machine Learning
Introduction
Model Validation
Fundamental Meaning
Introduction
NLP Guidelines
Knowledge Graph
Traits
Introduction
How to Use Traits
Ranking and Resolver
Advanced NLP Configurations
INTELLIGENCE
Overview
Context Management
Overview
Session and Context Variables
Context Object
How to Manage Context Switching
Manage Interruptions
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Event Based Bot Actions
Default Conversations
Default Standard Responses
TEST & DEBUG
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
CHANNELS
PUBLISH
ANALYZE
Overview
Dashboard
Custom Dashboard
Overview
How to Create Custom Dashboard
Conversation Flows
NLP Metrics
ADVANCED TOPICS
Universal Bots
Overview
Defining
Creating
Training
Customizing
Enabling Languages
Store
Smart Bots
Defining
koreUtil Libraries
SETTINGS
Authorization
Language Management
PII Settings
Variables
Functions
IVR Integration
General Settings
Management
Import & Export
Delete
Versioning
Collaborative Development
PLAN & USAGE
Overview
Usage Plans
Support Plans
Invoices
API GUIDE
API Overview
API List
API Collection
SDKs
SDK Overview
SDK Security
SDK App Registration
Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Widget SDK Tutorial
Widget SDK – Message Formatting and Templates
Web Socket Connect & RTM
Using the BotKit SDK
Installing
Configuring
Events
Functions
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
ADMINISTRATION
HOW TOs
Creating a Simple Bot
Creating a Banking Bot
Context Switching
Using Traits
Schedule a Smart Alert
Configure UI Forms
Add Form Data into Data Tables
Configuring Digital Views
Add Data to Data Tables
Update Data in Data Tables
Custom Dashboard
Custom Tags to filter Bot Metrics
Patterns for Intents & Entities
Build Knowledge Graph
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
Update Balance Task
Transfer Funds Task
RELEASE NOTES
  1. Docs
  2. Virtual Assistants
  3. Builder
  4. Dialog Task
  5. Grouping Nodes

Grouping Nodes

Grouping nodes is primarily used for defining a group of nodes and representing the same in the dialog canvas. Note that it is not a part of the dialog flow.

The Group Node can be used to improve the user experience with follow-ups, digressions, and amending entity values. For a use case example, refer here.

Adding

To add a group node to the dialog task, follow the below steps:

  1. Open the Dialog Task where you want to add the Group node.
  2. Group the nodes. For steps in grouping nodes, refer here.
  3. You can rename, configure, or delete a group.
  4. Once created, you can not add or remove specific nodes from the group.
    • Any node you add is added outside the group.
    • Any node you delete is deleted from the entire dialog.
    • Deleting a group will not delete the nodes within the group from the dialog.

Configure Node

The Group Node functionality includes the following:

  • Scoping of Intents – ability to define the sub-intents to be made available when the user is waiting at any of the nodes in the group;
  • Sub-intent Training – the ability to train the sub-intent;
  • Sub-intents Properties – ability to define the behavior of the sub-intent.

For a use case example, with step-by-step instructions in achieving the intent scoping, refer here

Scoping of Intents

Using Group Nodes you can scope the sub-intents that are to be allowed to be identified from the user utterance and executed while the user is at one of the nodes within the group.

  1. Hover over the group you want to scope the intents for and click the settings (gear) icon.
  2. From the Group Node window, select Add Intent to add intents that should be part of this group’s scope.
  3. From the Add Intent window, select the intent to be scoped as sub-intent for this Group node. This would be the intent that a user might ask for when the conversation is at any of the nodes in this group. For example, asking “How is the weather at XYZ city” when prompted for destination entity or asking for “Flight times” when prompted for the travel date.
  4. You can choose to add new sub-intents using the Create Intent button.
  5. Once added you can train, set behavioral properties and/or delete a scoped intent.

Training of Intents

Once added, each of the sub-intent can be trained for recognition within this group. This would ensure that the sub-intent is identified in the group’s context.

  1. From the Group settings page, select the sub-intent you want to train.
  2. You can train the sub-intent with the following:
    • Machine Learning – Add the user utterances that should identify this sub-intent. You can also use the NER approach to annotate entities in the utterances.
    • Patterns – Identify patterns in the user utterance related to this sub-intent
    • Rules – Define intent identification rules to trigger this intent
  3. You can also set the Intent Preconditions i.e. the sub-intent would get identified only when any of the preconditions defined are available in the context at the time of intent detection. These pre-conditions will be considered as instance levels and would take precedence over the component level pre-conditions.

Properties of Intents

The fulfillment section can be used to define the actions when this particular sub-intent is identified from the user input. It includes the following properties:

  • Context Variables – Set the key-value pairs to define the session or context variables to be updated when this sub-intent is identified.
    If you want to reset the values, you need to use the keyword “null”, spaces would be ignored by the platform.
  • Message – Optionally, define a message to be presented to the user when this sub-intent is identified. As with other responses, you can define the message as plain text, JavaScript format, specify, and set Voice Call Properties, where applicable.
  • Context Output – Define the context tags to be set when this intent is identified. The intent name is always set as output context by the system.
    If you want to reset the values, you need to use the keyword “null”, spaces would be ignored by the platform.
  • Transition Flow – Use this option to define how the dialog should resume after executing this sub-intent. Two behaviors you can define:
    • Jump To A Node – The dialog will resume from the node selected here.
    • Resume The Dialog – The dialog will resume from the node where this intent was identified.

     

Implementation

Following are the changes in sub-intent behavior within a group

  • For every sub-intent identified, the context object will be updated with an array of objects with the identified sub-intent details with the latest on the top. The following information is captured:
    • Name of the sub-intent;
    • Entities that are identified along with the sub-intent;
    • Name of the group to which the sub-intent belongs, where applicable;
    • Name of the node at which the sub-intent is identified.
      "identifiedSubIntents": [
        {
          "intent": "Change Destination",
          "entities": {
            "destcity": "Delhi"
          },
          "groupName": "Entity Group",
          "identifiedAt": "to_date"
        },
        {
          "intent": "Weather Report",
          "groupName": "Entity Group",
          "identifiedAt": "destcity"
        }
      ]
  • The intent would be executed if the sub-intent identified from the user utterance is within the group scope and all the input preconditions are satisfied and the transition flow directs to the concerned node.
  • The execution of sub-intent would involve:
    • Updation of the context variables as per the defined mapping
    • Setting the Output Context as per the defined mapping
    • Presenting the message to the user, if applicable
  • The current dialog execution should continue as per the transition flow defined
    • Jump to the specified node; or
    • Resume from the point where the sub-intent was identified.
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