一作ACL 2026Findings· Findings of ACL
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A R elief W eb-based Study
Yuanjun Zhang · Mourad Oussalah
摘要
Humanitarian reports are long, noisy, and multi-topic, making it difficult to consolidate decision-relevant causal evidence. We present a ReliefWeb study (2000–2024) and a two-stage Large Language Model (LLM) pipeline that extracts structured intervention-outcome records with direction and streng...