AI-900: Leveraging Language Understanding (LUIS) for Interpreting User Input and Enhancing Communication

Discover the capabilities of Language Understanding (LUIS) in interpreting the meaning behind user inputs. Explore how LUIS enables applications to comprehend natural language, respond appropriately, and enhance overall communication experiences.

Question

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

A. Translator Text
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)

Answer

D. Language Understanding (LUIS)

Explanation

The correct answer is D. Language Understanding (LUIS).

Language Understanding (LUIS) is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information. LUIS can be used to interpret the meaning of a user input such as “Call me back later” by using natural language understanding techniques, such as intents and entities.

An intent is the action the user wants to perform or the goal the user wants to achieve. For example, the intent of the user input “Call me back later” could be “ScheduleCallback”. An entity is the detail or information that is relevant to the intent. For example, the entity of the user input “Call me back later” could be the user’s phone number or preferred time.

LUIS can use prebuilt or custom models to identify the intents and entities from the user input and return a structured output that can be used by the application or bot to perform the appropriate action or response. For example, LUIS can return the following output for the user input “Call me back later”:

{
  "query": "Call me back later",
  "prediction": {
    "topIntent": "ScheduleCallback",
    "intents": {
      "ScheduleCallback": {
        "score": 0.9
      },
      "None": {
        "score": 0.1
      }
    },
    "entities": {
      "PhoneNumber": "+1-234-567-8901",
      "Time": "later"
    }
  }
}

The other three options are not AI services that can interpret the meaning of a user input such as “Call me back later”, but they can perform other tasks related to natural language processing:

• Translator Text is a cloud-based machine translation service that can translate text between over 90 languages. Translator Text can be used to translate the user input from one language to another, but it cannot extract the intent or entities from the user input.
• Text Analytics is a cloud-based natural language processing service that can perform text analysis tasks, such as sentiment analysis, key phrase extraction, named entity recognition, or language detection. Text Analytics can be used to analyze the user input for various information or insights, such as the tone, the topics, the entities, or the language of the user input, but it cannot identify the action or goal of the user input.
• Speech is a cloud-based speech service that can perform speech recognition, speech synthesis, speech translation, or speaker identification. Speech can be used to convert the user input from speech to text or from text to speech, or to translate the user input between different languages or speakers, but it cannot determine the meaning or context of the user input.

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