Natural Language Understanding in AI: Investigating Techniques and Algorithms for Natural Language Understanding in Artificial Intelligence
Keywords:
Natural Language Understanding, Natural Language, Artificial Intelligence, NLU Techniques, Deep Learning, Ambiguity, Context, Future DirectionsAbstract
Natural Language Understanding (NLU) is a crucial aspect of artificial intelligence (AI), enabling machines to comprehend human language. This paper explores various techniques and algorithms used in NLU, focusing on their strengths, weaknesses, and applications. We discuss traditional approaches such as rule-based systems and statistical methods, as well as modern deep learning models. Additionally, we examine challenges in NLU, including ambiguity and context, and propose future research directions to enhance NLU capabilities.
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