IEEE

Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder

Abstract: Financial news summarization (FNS) has been an attractive research problem in recent years, which aims to generate a shorter highlight of the news article while preserving key factual ...
IEEE

Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations

Abstract: This article presents a method of sequence-to-sequence (seq2seq) voice conversion using non-parallel training data. In this method, disentangled linguistic and speaker representations are ...
GitHub

Full Sequence-to-Sequence Encoder-Decoder Transformer for Neural Machine Translation

This repository contains a mathematically precise implementation of the original "Attention Is All You Need" Transformer architecture. Built entirely from scratch, the model maps English source ...
GitHub

HanhaiNotHai/attention-is-all-you-need-build-the-transformer-from-scratch

Reimplement the original encoder-decoder Transformer end to end in PyTorch, from token vocabularies and sinusoidal positional encodings through multi-head attention, label smoothing, Noam scheduling, ...