67 citations · 285 across the 36 of their papers we have counts for
6 papers · 1 filter
Domain Differential Adaptation for Neural Machine Translation
Zi-Yi Dou, Xinyi Wang, Junjie Hu +1
Neural networks are known to be data hungry and domain sensitive, but it is nearly impossible to obtain large quantities of labeled data for every domain we are interested in. This…
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos +1
The recent success of neural machine translation models relies on the availability of high quality, in-domain data. Domain adaptation is required when domain-specific data is scarc…
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos
Learning general representations of text is a fundamental problem for many natural language understanding (NLU) tasks. Previously, researchers have proposed to use language model p…
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,…
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
Graham Neubig, Zi-Yi Dou, Junjie Hu +4
In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the results of systems for language generation tasks such as machine translation. The main goa…
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…