Common Concepts
Concept |
Description |
---|---|
Task-oriented chatbot |
Completes tasks with clear objectives such as booking flight tickets, ordering meals, and subscribing to the RBT service. |
Q&A chatbot |
Provides answers based on users' questions. The content of the answer is more knowledge-based rather than user-oriented. The main feature of Q&A-oriented chatbots is one question and one answer. Even though the matching scope can be expanded through similar questions and answers. |
Intention |
|
Corpus |
A corpus refers to language texts that a user may say or enter. By analyzing the questions that a user may ask when performing a task and adding them as a corpus to an intention template for semantic recognition model training, a chatbot can better understand the user's language. |
Slot |
Slots are parameters to be collected during dialogs. For example, to implement a train ticket booking intention, a user needs to provide information such as the departure location, arrival location, and departure time. Such information is called slots. |
Entity |
|
Flow |
A flow represents an IVN task. You need to connect your intentions and voice replies in the entire flow to provide the self-service voice service for customers. Flows are classified into main flows and subflows. No obvious business logic division is available for main flows and subflows. A recommended scenario is as follows: Only one main flow can be configured for a tenant space. If no flow is associated with the access code in Configuring a Robot, the customer is connected to the main flow directly. Subflows can be used in other scenarios. |
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