244 citations · 511 across the 34 of their papers we have counts for
8 papers · 1 filter
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
Yong Wang, Longyue Wang, Shuming Shi +2
The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each doma…
Towards Understanding Neural Machine Translation with Word Importance
Shilin He, Zhaopeng Tu, Xing Wang +3
Although neural machine translation (NMT) has advanced the state-of-the-art on various language pairs, the interpretability of NMT remains unsatisfactory. In this work, we propose…
Self-Attention with Structural Position Representations
Xing Wang, Zhaopeng Tu, Longyue Wang +1
Although self-attention networks (SANs) have advanced the state-of-the-art on various NLP tasks, one criticism of SANs is their ability of encoding positions of input words (Shaw e…
One Model to Learn Both: Zero Pronoun Prediction and Translation
Longyue Wang, Zhaopeng Tu, Xing Wang +1
Zero pronouns (ZPs) are frequently omitted in pro-drop languages, but should be recalled in non-pro-drop languages. This discourse phenomenon poses a significant challenge for mach…
Exploiting Sentential Context for Neural Machine Translation
Xing Wang, Zhaopeng Tu, Longyue Wang +1
In this work, we present novel approaches to exploit sentential context for neural machine translation (NMT). Specifically, we first show that a shallow sentential context extracte…
Assessing the Ability of Self-Attention Networks to Learn Word Order
Baosong Yang, Longyue Wang, Derek F. Wong +2
Self-attention networks (SAN) have attracted a lot of interests due to their high parallelization and strong performance on a variety of NLP tasks, e.g. machine translation. Due to…
Convolutional Self-Attention Networks
Baosong Yang, Longyue Wang, Derek Wong +2
Self-attention networks (SANs) have drawn increasing interest due to their high parallelization in computation and flexibility in modeling dependencies. SANs can be further enhance…
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
Zi-Yi Dou, Zhaopeng Tu, Xing Wang +3
With the promising progress of deep neural networks, layer aggregation has been used to fuse information across layers in various fields, such as computer vision and machine transl…