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Hyperbase

A foundational library for Semantic Hypergraphs

Hyperbase is a foundational library for working with Semantic Hypergraphs (SH), which make it possible to represent a natural language sentence such as "Einstein first published the theory of relativity in 1905" as an ordered, recursive hyperlink of the form:

![Einstein first published the Theory of Relativity in 1905.](assets/images/hyperedge-blocks.png){ width="75%" }

Hyperbase is written in Python, to both take advantage and facilitate integration with the rich environment of scientific libraries available in this language. It is released under the highly permissive MIT open source license.

Installation and manual

Installation instructions, the manual and more information can be found here: https://hyperquest.ai/hyperbase

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

Funding

The creation of this software library and the associated research that made it possible were funded by CNRS and the ERC Consolidator Grant Socsemics (grant #772743).

License

MIT

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A foundational library for Semantic Hypergraphs

hyperquest.ai/hyperbase

Topics

artificial-intelligencecognitive-sciencecomputational-social-sciencehypergraphsknowledgeknowledge-baseknowledge-graphknowledge-representationnatural-language-processingnatural-language-understandingnlppythontext-analysistext-mining

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