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An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine‐learning‐based systems that automate this process. They use word embeddings with character‐level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top‐1 accuracy of 80.50%, outperforming baselines that exclude the...
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