ARLtR is a framework for jointly constructing knowledge graphs, embeddings, and grounded QA pairs from text, demonstrated on a Roman Empire dataset with over 19,000 entities and 8,400 QA pairs.
Richard Benjamins, and Dieter Fensel
2 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.
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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, demonstrated on a Roman Empire dataset with over 19,000 entities and 8,400 QA pairs.
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Toten: A Knowledge-Based System For Structure-Preserving Representation Of Physical Quantities And Technical Notation In Brazilian Portuguese
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.