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Title: Attention Is All You Need

Abstract
The dominant sequence transduction models are based on
complex recurrent or convolutional neural networks that
include an encoder and a decoder. The best performing
models also connect the encoder and decoder through an
attention mechanism. We propose a new simple network
architecture, the Transformer, based solely on attention
mechanisms, dispensing with recurrence and convolutions
entirely.

1. Introduction
Recurrent neural networks, long short-term memory and
gated recurrent neural networks in particular, have been
firmly established as state of the art approaches in sequence
modeling and transduction problems such as language
modeling and machine translation [...]

— extracted from Vaswani et al., "Attention Is All You Need" (2017)