47 citations · 187 across the 33 of their papers we have counts for
4 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…
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Xin Li, Lidong Bing, Wenxuan Zhang +1
In this paper, we investigate the modeling power of contextualized embeddings from pre-trained language models, e.g. BERT, on the E2E-ABSA task. Specifically, we build a series of…
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Zihao Wang, Kwun Ping Lai, Piji Li +2
For large-scale knowledge graphs (KGs), recent research has been focusing on the large proportion of infrequent relations which have been ignored by previous studies. For example f…
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…