Core Concepts
Natural Language Understanding (NLU)
NLU is the subfield of NLP concerned with reading comprehension: understanding the meaning, intent, sentiment, and entities in human language rather than just processing its surface form. Tasks include intent detection, slot filling, and semantic role labeling.
NLU powers voice assistants, chatbots, and search engines. It is distinct from Natural Language Generation (NLG) which produces text, and together they form the input and output sides of conversational AI.
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Related Terms
Core Concepts
Natural Language Processing (NLP)
Field focused on enabling computer-human interaction through natural language.
Core Concepts
Natural Language Generation (NLG)
Generating coherent, contextually relevant text from structured data or prompts.
Core Concepts
Intent
Underlying purpose or goal a user aims to achieve through a query.
Core Concepts
Entities
Specific, identifiable elements like names, places, and dates extracted from text.