48 citations · 74 across the 8 of their papers we have counts for
10 papers
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
Zhuosheng Zhang, Hai Zhao, Rui Wang
Machine reading comprehension (MRC) aims to teach machines to read and comprehend human languages, which is a long-standing goal of natural language processing (NLP). With the burs…
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Haipeng Sun, Rui Wang, Kehai Chen +3
Unsupervised neural machine translation (UNMT) has recently achieved remarkable results for several language pairs. However, it can only translate between a single language pair an…
Explicit Reordering for Neural Machine Translation
Kehai Chen, Rui Wang, Masao Utiyama +1
In Transformer-based neural machine translation (NMT), the positional encoding mechanism helps the self-attention networks to learn the source representation with order dependency,…
Modeling Future Cost for Neural Machine Translation
Chaoqun Duan, Kehai Chen, Rui Wang +4
Existing neural machine translation (NMT) systems utilize sequence-to-sequence neural networks to generate target translation word by word, and then make the generated word at each…
Explicit Sentence Compression for Neural Machine Translation
Zuchao Li, Rui Wang, Kehai Chen +4
State-of-the-art Transformer-based neural machine translation (NMT) systems still follow a standard encoder-decoder framework, in which source sentence representation can be well d…
Probing Contextualized Sentence Representations with Visual Awareness
Zhuosheng Zhang, Rui Wang, Kehai Chen +3
We present a universal framework to model contextualized sentence representations with visual awareness that is motivated to overcome the shortcomings of the multimodal parallel da…