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1 Fundamentals of Natural Language Processing
2 NLP stages and their interaction
3 Statistical Language Models
4 Sequence Labeling (HMM, MEMM, CRF, Viterbi, Forward)
5 Sparse Representations
6 Dense Representations I: Neural Language Models, word2vec, fasttext
7 Dense Representations II: Recurrent Neural Networks
8 Dense Representations III: Encoder-Decoder Models
9 Dense Representations IV: Attention Mechanisms and Transformers
10 Dense Representations V: Convolutional Neural Networks
11 Large Language Models
12 NLP Tasks and Modeling I: Morphological Analysis, Spelling Correction, Normalization, Pos Tagging, Syntactic Analysis, Named Entity Recognition
13 NLP Tasks and Modeling II: Word Sense Disambiguation, Semantic Role Labeling, Coreference Resolution, Semantic Analysis
14 NLP Tasks and Modeling III: Information Extraction, Information Retrieval, Machine Translation, Conversational Agents, Question-Answering Systems. |