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Mapping Latent Narrative Content Using LLMs: Essay on Economic Uncertainty Drivers

2026 · TEXT2KG/BiKE@ESWC · pp. 21-30 · 0 citations · 39 references
Computer Science

TL;DR

This work sets an LLM-based framework to reveal the narratives of uncertainty drivers in selected monetary policy documents, yielding a Directed Acyclic Graph (DAG) structure featuring causal patterns and their intensities that outperforms deep semantic search models trained on a big central bank corpus and has the advantage of revealing more granular patterns for specific context-based tests.

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