Deep Learning for NLPIntroduces deep learning concepts for NLP, covering word embeddings, RNNs, and Transformers, emphasizing self-attention and multi-headed attention.
Modern NLP: IntroductionBy Antoine Bosselut introduces Natural Language Processing and its challenges, advancements in neural models, and course goals.
Natural Language Processing: A PrimerIntroduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.
Ethics in NLPDiscusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.