Explore the key elements of a Language Understanding (LUIS) application designed to support a music festival. Learn about intents, utterances, domains, and entities. Discover how the question “Which act is playing on the main stage?” fits into the framework of this application, ensuring seamless user interactions and accurate information retrieval.
Table of Contents
Question
You are authoring a Language Understanding (LUIS) application to support a music festival. You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”. The question “Which act is playing on the main stage?” is an example of which type of element?
A. an intent
B. an utterance
C. a domain
D. an entity
Answer
B. an utterance
Explanation
The correct answer is B. an utterance. An utterance is the text input from the user that represents what they want to accomplish. An utterance can be a question, a command, a statement, or any other form of natural language expression. An utterance is the basic unit of communication between the user and the LUIS app. For example, the question “Which act is playing on the main stage?” is an utterance that the user might ask to the LUIS app.
An intent is the goal or purpose of the user’s utterance. An intent is a label that is assigned to an utterance based on the user’s intention. An intent can have one or more utterances associated with it. For example, the intent of the utterance “Which act is playing on the main stage?” could be “ShowInfo”, which indicates that the user wants to get information about a scheduled show.
A domain is a general category or topic that the LUIS app covers. A domain can have one or more intents and entities related to it. For example, the domain of the LUIS app that supports a music festival could be “MusicFestival”, which includes intents and entities such as “ShowInfo”, “TicketInfo”, “Artist”, “Stage”, etc.
An entity is a piece of information that is extracted from the user’s utterance. An entity can be a word, a phrase, a number, a date, or any other type of data that is relevant for the prediction task. An entity can have one or more values and synonyms associated with it. For example, the entity “Stage” could have values such as “Main”, “Side”, “Acoustic”, etc., and synonyms such as “Main Stage”, “Mainstage”, “Main Arena”, etc.
References
- Microsoft Docs > Azure > Cognitive Services > Language Understanding (LUIS) > Understand what good utterances are for your LUIS app
- Microsoft Learn > Azure > Cognitive Services > Computer Vision > Face detection and attributes
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