25 citations · 40 across the 9 of their papers we have counts for
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cs.CL2020★ 1 cited
Graph-to-Sequence Neural Machine Translation
Sufeng Duan, Hai Zhao, Rui Wang
Neural machine translation (NMT) usually works in a seq2seq learning way by viewing either source or target sentence as a linear sequence of words, which can be regarded as a speci…
cs.CL2020★ 4 cited
Capsule-Transformer for Neural Machine Translation
Sufeng Duan, Juncheng Cao, Hai Zhao
Transformer hugely benefits from its key design of the multi-head self-attention network (SAN), which extracts information from various perspectives through transforming the given…
cs.CL2020
Syntax-aware Data Augmentation for Neural Machine Translation
Sufeng Duan, Hai Zhao, Dongdong Zhang +1
Data augmentation is an effective performance enhancement in neural machine translation (NMT) by generating additional bilingual data. In this paper, we propose a novel data augmen…