Zero-Shot NLI Stance Detection for Knowledge Graph Edge Classification: Validating the Inference Level
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).
Fields of Study & Subjects
Advanced Graph Neural Networks
Topic Modeling
Graph Theory and Algorithms
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 March 2026
- Language
- EN
- Document type
- Preprint