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arXiv Computation and Language By Aho Yapi, Pierre Latouche, Arnaud Guillin, Yan Bailly

Structuring occupational accident narratives for cross-sector safety analysis: Transferability of accident-process role classification

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The study investigates whether a model trained on construction‑sector occupational accident narratives can accurately classify accident‑process roles in other sectors and reporting environments. Using 42,244 factual units from 6,040 construction narratives, the authors compared TF‑IDF, frozen pretrained representations, and task‑adapted pretrained models, achieving up to 85.7% balanced accuracy without retraining. The models performed consistently across metallurgy, chemistry‑plastics, and an independent company corpus, though performance varied more on the latter due to differing reporting practices.

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