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Abstract Natural language interfaces (NLIs) are a novel approach to non-visual accessibility of diagrammatic representations, such as statistical charts. This paper introduces a number of methods that aim to compensate for the lack of sight when accessing semantically-enhanced diagrams through a Web-based NLI.
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Stored only when both papers are in the corpus — 3 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.