Part-of-Speech Tagging & its Methods (5)

The Transformer The Transformer \cite{vaswani2017attention} was introduced in 2017 as the first sequence transduction model wholly based on self-attention. Transformers can be seen as a replacement for recurrent layers used in encoder-decoder architectures. They are the most robust approach for solving sequence-to-sequence tasks while handling long-range dependencies. In addition, the utilization…