nikoslefkos/semcom-framework
A repository for my Diploma Thesis; "Semantic communications framework with Transformer based models"
This framework helps you efficiently send and receive text messages by first extracting the core meaning. It takes your raw text input, converts it into structured semantic triples (facts), and then reconstructs coherent text from those triples at the receiving end. This would be used by anyone who needs to transmit textual information in a highly condensed, meaning-focused way.
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Use this if you need to distill the essential facts from text for transmission and then accurately recreate the original meaning on the other side.
Not ideal if you need to preserve the exact wording, style, or nuance of the original text, as this focuses on semantic content rather than verbatim reproduction.
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Python
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Last pushed
Jun 28, 2024
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