Abstract
Comment: 34 pages, 17 figures
Mapping Political-Elite Networks in Europe with a Multilingual Joint Entity-Relation Extraction Pipeline
- Authors
- Kirill Solovev, Jana Lasser
- Categories
- cs.CL
Brief
Solovev and Lasser (2026) introduce an open-weight, multilingual pipeline that jointly extracts entities and signed, directed relations from news to build temporal knowledge graphs. It combines span-based NER, a three-stage Wikidata linking cascade, and an ontology-constrained mixture-of-experts with guided decoding. A 3,491-relation spot-check yields 68.2% strict (93.7% lenient) correctness; Austrian and Polish case studies validate political-network recovery.
Why it matters
Modular open-weight multilingual pipeline that builds signed, temporal knowledge graphs from news using span-based NER, a three-stage linking cascade mapping mentions to language-independent Wikidata IDs, and an ontology-constrained mixture-of-experts model with guided decoding.
Key details
- Evaluation: full-coverage spot-check on a 3,491-relation gold standard reports textual correctness 68.2% strict and 93.7% lenient.
- Case studies: Austria — reconstructs a political party’s lifecycle, dating internal fractures and tracking personnel into successor factions and court convictions; Poland — uncovers overlapping state-enterprise patronage networks and a structurally balanced signed conflict network between PO (Platforma Obywatelska) and PiS (Prawo i Sprawiedliwość).