ARLtR is a framework for jointly constructing knowledge graphs, embeddings, and grounded QA pairs from text, released as a Roman Empire dataset with over 19,000 entities and 8,400 QA pairs.
Richard Benjamins, and Dieter Fensel
3 Pith papers cite this work. Polarity classification is still indexing.
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TOTEN is a knowledge-based system for structure-preserving representation of physical quantities and technical notation in Brazilian Portuguese using an ontology of engineering entities and external authorities, outperforming statistical baselines in atomicity and reconstruction.
Presents the CCAI ontology and SPARQL retrieval method to convert ephemeral Human-Generative AI prompt interactions into explicit, machine-readable collaboration traces, illustrated in a competency-profile software case study.
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All Relations Lead to Rome: Automated Knowledge Graph Creation and Question Generation
ARLtR is a framework for jointly constructing knowledge graphs, embeddings, and grounded QA pairs from text, released as a Roman Empire dataset with over 19,000 entities and 8,400 QA pairs.