A script, which describes the evolutionary path of events, is a structured event sequence. Script event prediction aims to predict the next event from a sequence of historical events. Current studies ...

In this paper, a sequence-to-sequence deep learning architecture based on the bidirectional gated recurrent unit (Bi-GRU) for type recognition and time location of combined power quality disturbance ...

The original transformer architecture consists of two main components: an encoder and a decoder. The encoder processes the input sequence and generates a contextualized representation, which is then ...

This architecture is common in both RNN-based and transformer-based models. Attention mechanisms, especially in transformer models, have significantly enhanced the performance of encoder-decoder ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

In contrast to these models, sequence-to-sequence (seq2seq) models such as BART (Lewis et al., 2020) and T5 (Raffel et al., 2020) utilize both encoder and decoder stacks of the transformer. Such ...

EnCodec is a streaming, convolutional-based encoder-decoder architecture with three principal components: 1) an encoder network that inputs an audio extract and outputs a latent representation; 2) a ...