SOURCE-LINKED INTELLIGENCE
Extracting Dataset Mentions in Forced Displacement and FCV Documents: A Weakly Supervised Framework with LLM-Based Label Refinement
Development and humanitarian organizations produce and support surveys, administrative registries, and other data resources to inform research, policy, and operations, yet systematically identifying where these datasets are referenced remains difficult. Such references are dispersed across research papers, project documents, humanitarian reports, and other unstructured text, limiting both the ability to trace data use and to identify potential gaps in data availability or dissemination. We present a weakly supervised framework for adapting dataset extraction to forced displacement and Fragile,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T18:34:08.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.