38 citations · 81 across the 5 of their papers we have counts for
8 papers
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…
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…
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…
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…
Core Semantic First: A Top-down Approach for AMR Parsing
Deng Cai, Wai Lam
We introduce a novel scheme for parsing a piece of text into its Abstract Meaning Representation (AMR): Graph Spanning based Parsing (GSP). One novel characteristic of GSP is that…
Charge-Based Prison Term Prediction with Deep Gating Network
Huajie Chen, Deng Cai, Wei Dai +2
Judgment prediction for legal cases has attracted much research efforts for its practice use, of which the ultimate goal is prison term prediction. While existing work merely predi…