What is natural language understanding used for?#
By interpreting the intent behind text or speech, NLU allows software to accurately understand and categorise customer requests, support tickets, and feedback. This enables businesses to build more effective chatbots, automate data entry, and gain insights from unstructured data without manual analysis.
How does natural language understanding work?#
NLU works by breaking down human language into its fundamental components. First, it identifies the grammatical structure of a sentence, figuring out the subjects, verbs, and objects. This allows it to understand the basic relationships between words.
Second, the system identifies the user's specific goal, known as "intent," and extracts key pieces of information, called "entities." For example, in the phrase, "What's the weather like in London tomorrow?", the AI identifies the intent as a request for a weather forecast, and the entities as "London" (location) and "tomorrow" (date). This structured understanding allows a computer system to take the correct action.
How is natural language understanding different from NLP?#
Natural Language Understanding (NLU) is focused specifically on computer reading comprehension. It is a component of the broader field of Natural Language Processing (NLP), which covers all interactions between computers and human language. NLU is the "input" or "listening" part, whereas a different component, Natural Language Generation (NLG), is the "output" or "speaking" part that creates human-like responses.