_toc.yml

format: jb-book
root: intro
parts:
- caption: Key Concepts and Terms
  numbered: true
  chapters:
  - file: 01_01_introduction_to_ner
    title: Introduction to Named Entity Recognition
  - file: 01_02_introduction_to_spacy
    title: Introduction to spaCy
  - file: 02_rules_based_ner
    title: Rules-Based NER
  - file: 03_machine_learning_ner
    title: Machine Learning NER with spaCy
- caption: Rules-Based NER in spaCy 3x
  numbered: true
  chapters:
  - file: 02_01_spaCy_Entity_Ruler
    title: Using SpaCy's EntityRuler
  - file: 02_02_intro_to_regex
    title: Introduction to RegEx in Python and spaCy
  - file: 02_03_mwt_with_finditer
    title: How to Add Multi-Word Tokens to spaCy Entities
- caption: Machine Learning NER with spaCy 3x
  numbered: true
  chapters:
  - file: 03_01_create_ner_training_set
    title: Creating a Training Set
  - file: 03_02_train_spacy_ner_model
    title: How to Train a Base NER ML Model
  - file: 03_03_examining_a_spacy_model
    title: Examining a spaCy Model in the Folder
  - file: 03_04_introduction_to_word_vectors
    title: Introduction to Word Vectors
  - file: 03_05_generating_custom_word_vectors
    title: Generating Custom Word Vectors with Gensim
  - file: 03_06_loading_custom_word_vectors
    title: Loading Custom Word Vectors into a spaCy Model
- caption: Solving a Domain-Specific Problem (Holocaust)
  numbered: true
  chapters:
  - file: 04_01_cultivating_concentration_camp_dataset
    title: Cultivating Good Datasets for Entities
  - file: 04_02_cultivating_corpus.ipynb
    title: Cultivating a Corpus
  - file: 04_03_the_challenges_of_holocaust_ner
    title: The Challenges of Holocaust NER
  - file: 04_04_introduction_to_custom_pipes
    title: Introduction to Custom Pipes
  - file: 04_05_building_holocaust_pipeline_rules_based
    title: Creating the Rules-Based Pipeline