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Magic Markup: Maintaining Document-External Markup with an LLM
Today, language models offer a new method: metadata can be bound to entities in changing text using a model's human-like understanding of semantics, with no requirements on the document structure.
rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
We leverage these findings to develop rTisane, a DSL for expressing conceptual models augmented with an interactive disambiguation process.
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