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