K
Kai Wang
Researcher at Sun Yat-sen University
Publications - 7
Citations - 528
Kai Wang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Graph (abstract data type) & Tree structure. The author has an hindex of 5, co-authored 7 publications receiving 187 citations.
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Relational Graph Attention Network for Aspect-based Sentiment Analysis
TL;DR: This paper defines a unified aspect-oriented dependency tree structure rooted at a target aspect by reshaping and pruning an ordinary dependency parse tree and proposes a relational graph attention network (R-GAT) to encode the new tree structure for sentiment prediction.
Proceedings ArticleDOI
Relational Graph Attention Network for Aspect-based Sentiment Analysis
TL;DR: This article proposed a relational graph attention network (R-GATN) to encode the new tree structure for sentiment prediction. But, due to the complexity of language and the existence of multiple aspects in a single sentence, these models often confuse the connections.
Proceedings ArticleDOI
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
Kai Wang,Xiaojun Quan,Rui Wang +2 more
TL;DR: A novel Bi-directional Selective Encoding with Template (BiSET) model, which leverages template discovered from training data to softly select key information from each source article to guide its summarization process, is proposed.
Proceedings ArticleDOI
Multi-Domain Dialogue Acts and Response Co-Generation
TL;DR: This paper propose a neural co-generative model that generates dialogue acts and responses concurrently, which preserves the semantic structures of multi-domain dialogue acts, and dynamically attends to different acts as needed.
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Multi-Domain Dialogue Acts and Response Co-Generation
TL;DR: A neural co-generation model that generates dialogue acts and responses concurrently and achieves very favorable improvement over several state-of-the-art models in both automatic and human evaluations.