In some cases, having a parent dialog node that conditions on the parent entity may simplify your dialog design. One advantage of this hierarchy is the ability to condition a dialog using the entity or each of its child values. “workbook” and “pad”) are different ways a user may mention an entity value. The confirmation text comes from the dialog whose condition is the detection of Entity and value hierarchyĪs you may have noticed, an entity and its values effectively provide a hierarchy that is one level deep: Entity (e,g. After recognizing the entity, Watson Assistant returns back the entity and value that match the synonym (i.e. Watson Assistant recognizes “ballpoint pen” as an entity. Your assistant also needs to understand what your user wants to purchase, which you can model with an entity. Your assistant needs to understand a user’s #makePurchase intent. Let’s say your assistant will help your customers buy office supplies from your online store. Entities (prefixed with are concepts or objects that matter to the tasks your assistant can perform. You train Watson Assistant to detect intents by providing examples of what your users would say (sometimes called “user utterances”) to express that intent or goal.Ģ. Intents (prefixed with #) are the goals your customer is trying to accomplish. Intents and entities are the building blocks of natural language understanding:ġ. To understand entities, you first need to understand intents. If you need a more detailed introduction, please see the getting started tutorial. This article assumes you are familiar with Watson Assistant, so we’re going to fly through the basics. Part 1 covers the basics, and part 2 focuses on contextual entities. In this two-part series, Dan O’Connor and I present a holistic view of entities, and share some tips based on real-life use cases to help you get the most out of them. You can use dictionaries and patterns to define entities quickly, or for more advanced use cases, you can train Watson to recognize entities from the context of what a user has said. Entities in IBM Watson Assistant let you hone in on exactly what your end users are saying, and allow you to build a more personalized assistant.
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