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Contents:

  • Publications and Use Cases
  • Installation
  • Tutorials and examples
  • Manual
    • Overview
    • Semantic Hypergraph notation
    • Special relations
    • Basic hypergraph operations
    • Patterns
    • Discovering patterns
    • Parsing natural language
    • Readers
    • Co-reference resolution
    • Meaning extraction
    • Hypergraph database backends
    • Notebooks and visualizations
    • Command-line interface
    • Internals and extending Graphbrain
      • Creating and training a new parser
      • Creating a new hypergraph database backend
    • API reference
  • Team
  • Thanks
Graphbrain
  • Manual
  • Internals and extending Graphbrain
  • Edit on GitHub

Internals and extending Graphbrain

Contents:

  • Creating and training a new parser
    • Extending the AlphaBeta class
    • Collecting a corpus of sample texts
    • Extracting sentences
    • Annotating sentences to generate a parser training dataset
    • Splitting into training and testing datasets
    • Generating alpha training data
    • Testing the alpha stage
    • Manual parser testing
  • Creating a new hypergraph database backend
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