Lecture 14 – Contextual Vectors | Stanford CS224U Natural Language Understanding | Spring 2019

Natural-language understanding Natural-language understanding or natural-language interpretation 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.How does natural language understanding NLU work? NLU is branch of natural language processing (NLP), which helps computers understand and interpret human language by breaking down the elemental pieces of speech. While speech recognition captures spoken language in real-time, transcribes it, and returns text, NLU goes beyond recognition to determine a user's intent.What can human still do better than machine learning? What can a human still do better and faster than any Machine Learning (ML) solution? transfer knowledge between domains. understand what data represents. judge the quality of any given data.What is the difference between humans and robots? Unlike humans, robots do not have experience and don't understand context. For a robot, context is created every time it runs (a clear session is created), and when it completes the task, it “clears” everything afterward, to leave the system in the same condition as when it started.