Skip to content

Author

Michael Romei de Socio

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#small language model Dataset Open access Sep 2026

Ontology-Guided Prompting for Zero-Shot Information Extraction: Data, Code, Annotations, and Evaluation Artifacts

This record contains the data, code, annotations, and evaluation artifacts for a controlled study of ontology-guided prompting in zero-shot information extraction. The experiment compares a generic extraction prompt with an ontology-guided variant using 20 synthetic single-entity texts constructed for four selected ontology classes, two language models (Qwen3 0.6B and Mistral Small 3.1 24B), and two prompting conditions, resulting in 80 model outputs. The archive includes the synthetic dataset, baseline and ontology-guided prompts, reference extractions, model-generation wrappers and configurations, released raw outputs, attribute-level manual scores, the scoring rubric and annotation interfaces, the class-specific schema inventory, aggregation code, and derived result tables. The package supports inspection of the experimental materials and deterministic recomputation of the aggregate results from the released annotations. The target classes, their attribute inventories, and the natural-language class and attribute descriptions used in the ontology-guided prompts are derived from: Hartley III, D. S. (2021). An Ontology of Modern Conflict: Including Conventional Combat and Unconventional Conflict. Springer International Publishing. https://doi.org/10.1007/978-3-030-53214-7

Michael Romei de Socio · 0 citations
#small language model Dataset Open access Sep 2026

Ontology-Guided Prompting for Zero-Shot Information Extraction: Data, Code, Annotations, and Evaluation Artifacts

This record contains the data, code, annotations, and evaluation artifacts for a controlled study of ontology-guided prompting in zero-shot information extraction. The experiment compares a generic extraction prompt with an ontology-guided variant using 20 synthetic single-entity texts constructed for four selected ontology classes, two language models (Qwen3 0.6B and Mistral Small 3.1 24B), and two prompting conditions, resulting in 80 model outputs. The archive includes the synthetic dataset, baseline and ontology-guided prompts, reference extractions, model-generation wrappers and configurations, released raw outputs, attribute-level manual scores, the scoring rubric and annotation interfaces, the class-specific schema inventory, aggregation code, and derived result tables. The package supports inspection of the experimental materials and deterministic recomputation of the aggregate results from the released annotations. The target classes, their attribute inventories, and the natural-language class and attribute descriptions used in the ontology-guided prompts are derived from: Hartley III, D. S. (2021). An Ontology of Modern Conflict: Including Conventional Combat and Unconventional Conflict. Springer International Publishing. https://doi.org/10.1007/978-3-030-53214-7

Michael Romei de Socio · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.