38 citations · 97 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
Neural Machine Translation with Noisy Lexical Constraints
Huayang Li, Guoping Huang, Deng Cai +1
Lexically constrained decoding for machine translation has shown to be beneficial in previous studies. Unfortunately, constraints provided by users may contain mistakes in real-wor…
Chinese Word Segmentation: Another Decade Review (2007-2017)
Hai Zhao, Deng Cai, Changning Huang +1
This paper reviews the development of Chinese word segmentation (CWS) in the most recent decade, 2007-2017. Special attention was paid to the deep learning technologies that has al…