Natural Language Understanding (NLU) is a subtopic of Natural Language Processing. It focuses on “comprehension”. NLU deals with users’ intents and what they mean instead of what they say. Thus, some people refer to it as Intent Detection or Intent Detector. By picovoice.ai.
The main points in the article:
- How does NLU work?
- Five most commonly used NLU terms
- Conversational AI
- Corpus
- Utterance
- Intent
- Entities
Understanding Intents is just one part of the problem. Extracting details and understanding choices are as vital as understanding intents. Entities are also known as Slots or Intent Details. Despite the same intent, the utterances “show me sneakers” and “I want to see running shoes” have different Entities: “sneakers” and “running shoes.” Nice intro to NLU!
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