Natural-language understanding
Subtopic of natural language processing in artificial intelligence / From Wikipedia, the free encyclopedia
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This article is about the computer processing ability. For the psychological concept, see Language processing in the brain
Natural-language understanding (NLU) or natural-language interpretation (NLI)[1] is a subset of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem.[2]
This article needs to be updated. The reason given is: lack of discussion of recent developments related to large language models, but also no mention of older techniques like word embedding or word2vec. (February 2024) |
There is considerable commercial interest in the field because of its application to automated reasoning,[3] machine translation,[4] question answering,[5] news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis.