Neural Networks for NLPCovers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.
Lexical SemanticsExplores lexical semantics, word sense, semantic relations, and WordNet, highlighting applications in language engineering and information retrieval.
Topic ModelsIntroduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.
Cache MemoryExplores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.
Lexicons, n-grams and Language ModelsExplores lexicons, n-grams, and language models, emphasizing their importance in recognizing words and the effectiveness of n-grams for various tasks.
