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A technical blog post discussing how structural descriptions like type systems and build systems leverage graph-structured models to ensure correctness, highlighting the definitional nature of systems like Bazel.
This paper compares the geometric structures induced by deep learning vector embeddings (CamemBERT) and lexical co-occurrence graph models on the French 'Great National Debate' corpus, finding similar local topology but distinct global organization, highlighting complementarity between the two approaches.