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Natural Language Understanding

Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem.

The field studies artificial intelligence and its ability to interact with humans based on its understanding of language inputs both simple and complex. Natural language understanding is studied both in things as small as one-word or short phrase commands, as well as structures as large as poems, letters, and even literature.

What is the main goal of Natural Language Understanding?

One of the major goals in natural language understanding is the creation of AI tools that can communicate with humans organically for a variety of purposes. The field has already produced important milestones, including Apple’s Siri and Microsoft’s Cortana. The technology is also seen in chatbots used by companies like Facebook on their messenger platform.

Why natural language processing is important?

Natural language processing technology is designed to derive meaningful and actionable data from freely written text. This is particularly useful because it allows medical professionals to record information in a natural manner.

What is chatbot technology?

A chatbot is an artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone.

What are the major open problems in natural language understanding?

Natural languages are fascinating. They have their roots in very deep inside humanity – every human society communicates with natural languages, and have done so for a very long time. This has generated very interesting theories about the origins of language. See the full article for more details.

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