111 citations · 315 across the 19 of their papers we have counts for
11 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…
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…
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology
Yangjun Zhang, Pengjie Ren, Maarten de Rijke
Conversational interfaces are increasingly popular as a way of connecting people to information. Corpus-based conversational interfaces are able to generate more diverse and natura…
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
Phillip Lippe, Pengjie Ren, Hinda Haned +2
Existing methods for Dialogue Response Generation (DRG) in Task-oriented Dialogue Systems (TDSs) can be grouped into two categories: template-based and corpus-based. The former pre…
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…
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
Jiahuan Pei, Pengjie Ren, Christof Monz +1
Dialogue response generation (DRG) is a critical component of task-oriented dialogue systems (TDSs). Its purpose is to generate proper natural language responses given some context…