Natural Language Processing (NLP)

  1. Classical Machine Learning for NLP
    1. Sequence Labeling
      1. Part-of-Speech Tagging
        1. Tag Sets and Standards
          1. Rule-Based Approaches
            1. Hidden Markov Models
              1. Conditional Random Fields
              2. Named Entity Recognition
                1. Entity Types and Standards
                  1. Gazetteer Methods
                    1. Statistical Approaches
                      1. Feature Engineering
                      2. Chunking and Parsing
                        1. Shallow Parsing
                          1. Constituency Parsing
                            1. Dependency Parsing
                          2. Text Classification
                            1. Problem Formulation
                              1. Binary Classification
                                1. Multi-class Classification
                                  1. Multi-label Classification
                                  2. Feature Engineering
                                    1. Lexical Features
                                      1. Syntactic Features
                                        1. Semantic Features
                                        2. Classification Algorithms
                                          1. Naive Bayes
                                            1. Support Vector Machines
                                              1. Logistic Regression
                                                1. Decision Trees
                                                  1. Ensemble Methods
                                                2. Information Extraction
                                                  1. Relation Extraction
                                                    1. Event Extraction
                                                      1. Template Filling
                                                        1. Knowledge Base Population

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                                                      6. Word Embeddings and Distributed Representations

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                                                      8. Deep Learning Foundations