21AI62 Dayananda Sagar University • CSE — Artificial Intelligence & Machine Learning (Semester 6)

Natural Language Processing

💡 DSU Exam Strategy & Guidance

Text Preprocessing (Tokenization, Lemmatization), N-gram Language Models, Word Embeddings (Word2Vec, GloVe), Sequence Tagging (HMM/CRF), and Pretrained LLMs (BERT, GPT).

High-Yield Passing Strategy: Explain Skip-Gram vs Continuous Bag of Words (CBOW) in Word2Vec and BERT Masked Language Modeling.
Most Repeated Question Topics:
Word2Vec Skip-Gram Architecture with Negative SamplingBERT vs GPT Architectural DifferencesN-gram Language Modeling & Smoothing TechniquesTF-IDF & Cosine Similarity for Semantic Search

📄 Previous Year Question Papers (1)

END_SEM • 2024

End Semester Exam 2024

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