Zero-Shot NLI Stance Detection for Knowledge Graph Edge Classification: Validating the Inference Level
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Abstract
Paper 1 in the Prioris research series. Validates inference-level edge classification using mDeBERTa-v3 zero-shot NLI for CONFIRMS and CONTRADICTS edges. Compares against Claude Haiku and fine-tuned BERT baselines across three domains and two languages. Part of the Evidence-Graded Knowledge Graphs research programme (Paper 0: 10.5281/zenodo.19024611).
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1Topics & keywords
Keywords
- Inference
- Graph
- Knowledge graph
- Enhanced Data Rates for GSM Evolution
- General knowledge
- Pattern recognition (psychology)
UN Sustainable Development Goals
- Quality Education
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