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From Rule-Based to Neural Networks: Evolution of Question Answering #NLP

The Ultimate NLP Course: From Scratch to Expert — Part 12 covers the evolution of question answering systems and key components of question answering in NLP, including natural language understanding and information retrieval techniques. It also discusses rule-based systems as the foundation of NLP. The article includes a table of contents outlining the topics covered in the course. The content is accompanied by an image created by AI. The author of the course is Ayşe Kübra Kuyucu, and it is published on DataDrivenInvestor. The course aims to provide a comprehensive understanding of NLP from beginner to expert level.

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Source link: https://medium.datadriveninvestor.com/question-answering-systems-in-nlp-from-rule-based-to-neural-networks-part-12-ae941859fc9b

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