activity
20162021
most citedGraph Transformer for Graph-to-Sequence Learning

38 citations · 193 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CL2021★ 16 cited

Neural Machine Translation with Monolingual Translation Memory

Deng Cai, Yan Wang, Huayang Li +2

Prior work has proved that Translation memory (TM) can boost the performance of Neural Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and…

cs.CL2020

Dialogue Response Selection with Hierarchical Curriculum Learning

Yixuan Su, Deng Cai, Qingyu Zhou +6

We study the learning of a matching model for dialogue response selection. Motivated by the recent finding that models trained with random negative samples are not ideal in real-wo…

cs.CV2020★ 8 cited

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

Yahui Liu, Marco De Nadai, Deng Cai +4

Manipulating visual attributes of images through human-written text is a very challenging task. On the one hand, models have to learn the manipulation without the ground truth of t…

cs.CL2020★ 10 cited

AMR Parsing via Graph-Sequence Iterative Inference

Deng Cai, Wai Lam

We propose a new end-to-end model that treats AMR parsing as a series of dual decisions on the input sequence and the incrementally constructed graph. At each time step, our model…

cs.CL2020★ 6 cited

Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory

Yixuan Su, Yan Wang, Simon Baker +4

The ability of a dialog system to express prespecified language style during conversations has a direct, positive impact on its usability and on user satisfaction. We introduce a n…

cs.CL2019★ 38 cited

Graph Transformer for Graph-to-Sequence Learning

Deng Cai, Wai Lam

The dominant graph-to-sequence transduction models employ graph neural networks for graph representation learning, where the structural information is reflected by the receptive fi…