activity
20172023
most citedSelf-Paced Learning for Neural Machine Translation

39 citations · 325 across the 35 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CL2019★ 1 cited

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

Yu Wan, Baosong Yang, Derek F. Wong +3

As a special machine translation task, dialect translation has two main characteristics: 1) lack of parallel training corpus; and 2) possessing similar grammar between two sides of…

cs.CL2019★ 1 cited

Neuron Interaction Based Representation Composition for Neural Machine Translation

Jian Li, Xing Wang, Baosong Yang +3

Recent NLP studies reveal that substantial linguistic information can be attributed to single neurons, i.e., individual dimensions of the representation vectors. We hypothesize tha…

cs.CL2019★ 5 cited

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…

cs.CL2019★ 19 cited

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…

cs.CL2019★ 13 cited

Information Aggregation for Multi-Head Attention with Routing-by-Agreement

Jian Li, Baosong Yang, Zi-Yi Dou +3

Multi-head attention is appealing for its ability to jointly extract different types of information from multiple representation subspaces. Concerning the information aggregation,…

cs.CL2019★ 6 cited

Modeling Recurrence for Transformer

Jie Hao, Xing Wang, Baosong Yang +3

Recently, the Transformer model that is based solely on attention mechanisms, has advanced the state-of-the-art on various machine translation tasks. However, recent studies reveal…