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<div><div><div><p>Organic reactions are usually clustered in classes that collect entities undergoing similar structural rearrangement. The classification process is a tedious task, requiring first an accurate mapping of the rearrangement (atom mapping) followed by the identification of the corresponding reaction class template. In this work, we present a transformer-based model that infers reaction classes from the SMILES representation of chemical reactions. The model reaches an accuracy ofdoi:10.26434/chemrxiv.9897365.v1 fatcat:gksz4wq3j5bflkgntuvwbzxyuy