39 citations · 112 across the 11 of their papers we have counts for
8 papers · 1 filter
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
Shanshan Wang, Zhumin Chen, Zhaochun Ren +3
Pre-trained language models (PLM) have demonstrated their effectiveness for a broad range of information retrieval and natural language processing tasks. As the core part of PLM, m…
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang, Zhongkun Liu, Wanjun Zhong +4
Complex reasoning aims to draw a correct inference based on complex rules. As a hallmark of human intelligence, it involves a degree of explicit reading comprehension, interpretati…
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Dongdong Li, Zhaochun Ren, Pengjie Ren +4
Medical dialogue generation aims to provide automatic and accurate responses to assist physicians to obtain diagnosis and treatment suggestions in an efficient manner. In medical d…
Abstractive Opinion Tagging
Qintong Li, Piji Li, Xinyi Li +3
In e-commerce, opinion tags refer to a ranked list of tags provided by the e-commerce platform that reflect characteristics of reviews of an item. To assist consumers to quickly gr…
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
Minghong Xu, Piji Li, Haoran Yang +4
Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstrated effective in generating persona consistent responses by utilizing predefined natural language user perso…
EmpDG: Multiresolution Interactive Empathetic Dialogue Generation
Qintong Li, Hongshen Chen, Zhaochun Ren +3
A humanized dialogue system is expected to generate empathetic replies, which should be sensitive to the users' expressed emotion. The task of empathetic dialogue generation is pro…