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Highlights• We propose several methods to automatically learn injury precursors from raw construction accident reports,• precursors are learned by multiple supervised models as a by-product of training them at predicting safety outcomes,• we experiment with two deep learning models (CNN and HAN), and a more traditional machine learning approach (TF-IDF + SVM),• the proposed methods can also be used to visualize and understand the models' predictions.

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