1 citations · 1 across the 5 of their papers we have counts for
5 papers
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, Jianfeng Qu, Kexin Wang +4
Knowledge-grounded dialogue (KGD) learns to generate an informative response based on a given dialogue context and external knowledge (\emph{e.g.}, knowledge graphs; KGs). Recently…
Long-Document Cross-Lingual Summarization
Shaohui Zheng, Zhixu Li, Jiaan Wang +4
Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the given documents in another language. CLS has attracted wide research attention due to its pra…
RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
Kexin Wang, Zhixu Li, Jiaan Wang +4
Grounding dialogue system with external knowledge is a promising way to improve the quality of responses. Most existing works adopt knowledge graphs (KGs) as the external resources…
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Jiaan Wang, Beiqi Zou, Zhixu Li +4
Story ending generation is an interesting and challenging task, which aims to generate a coherent and reasonable ending given a story context. The key challenges of the task lie in…
Knowledge Enhanced Sports Game Summarization
Jiaan Wang, Zhixu Li, Tingyi Zhang +5
Sports game summarization aims at generating sports news from live commentaries. However, existing datasets are all constructed through automated collection and cleaning processes,…