Abstract: Transformer-based models have revolutionized neural machine translation (NMT), particularly with the introduction of the encoder-decoder architecture. However, training these models ...

Abstract: Traditional named entity recognition methods lack relative positional information interaction and pay little attention to the distance information between entities, which makes it difficult ...