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 Management
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. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Alert Task
  6. Managing Ignore Words and Field Memory

Managing Ignore Words and Field Memory

Developers can include words for the NLP engine to ignore when interpreting the user input for a task. Bots can then respond faster to user input and improve the probability of correct task recognition. The NLP engine comes pre-built with a large set of generic ignore words.
To manage this setting,

  1. Open the bot where you want to configure these ignore words.
  2. From the top menu, select Build
  3. On the left pane, click Intelligence -> Ignore Words & Field Memory 
Note: This option is available only for one of the following tasks configured – Alert, Action, or Information. As such for bots without any of the above tasks defined, the option is hidden from the menu.

You can edit each task to persist data for that task to pre-populate in another related task for the same bot in the Field Memory settings for each task. For example, for a theme park bot, Get Wait Times for Rides task, you can pre-populate task fields into the related task, Book a FastPass action task. You can also configure words to ignore in the user input at the task level. For example, for the 7-day Weather Forecast task, you might want days of the week, such as Monday, Tuesday, and so forth to be ignored since all weekdays are included.

Click a task name to show task fields that can be configured or edited for Field Memory and other field settings. The task fields are the parameters defined for the selected task. To define ignore words for a task,

  • Hover over the task, and then click the Edit icon.

Edit a Task

To modify or add a configuration for a task,

  1. Hover over the name of the task, and then click Edit. The Edit Task window is displayed.
  2. Turn Off Confirmation Messages – Select Yes to disable confirmation of the execution of a task when using NLP. When No is selected, the user is asked to confirm the task before running it.
  3. Ignore Words – Enter one or more ignore words for the task name. The list of words to ignore is processed by the Bots Platform before interpreting the user input. This means the bot can respond faster to user input and provide the correct task by filtering out words that apply to many tasks but do not help to identify which task. For example, a user may input, I want to get the weather forecast for today. To return the correct task to the user, the Bots Platform interpreter only needs to recognize three words, weather, forecast, and today. The rest of the words can be ignored. The Kore.ai Bots interpreter is already defined with a set of generic ignore words, so words like I, you, want, get, etc., do not need to be defined as ignore words. If your bot uses the same words for many or all tasks, for example, your company name, you might add your company name as an ignore word.
  4. Click Save to save the settings and close the Edit Task window.

Define Field Memory for a Task

To add or edit Field Memory settings for a task,

  1. Click the Task Name to display the associated Task Fields; then click the Edit  icon to display the Field Memory window as shown in the following illustration.
    In the Field Memory dialog, you can specify the following options:
  2. Entity Type – Select the type of data that the NLP interpreter should expect as input to enhance recognition and performance:
    See here for entity types.
  3. Memory User-Provided Value – Enable or disable persistence of data provided by the user for a specified time. One of:
    No, do not memorize – The user’s data for this field is not persisted after the task is completed.Yes, memorize this value – The field value is persisted for the time specified in minutes.
  4. Click Save to save the settings and close the Field Memory window.
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