150 citations · 184 across the 14 of their papers we have counts for
6 papers · 1 filter
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization
Yu Li, Baolin Peng, Pengcheng He +3
Dialogue summarization has recently garnered significant attention due to its wide range of applications. However, existing methods for summarizing dialogues have limitations becau…
Sources of Noise in Dialogue and How to Deal with Them
Derek Chen, Zhou Yu
Training dialogue systems often entails dealing with noisy training examples and unexpected user inputs. Despite their prevalence, there currently lacks an accurate survey of dialo…
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies
Weiyan Shi, Emily Dinan, Adi Renduchintala +4
Existing approaches built separate classifiers to detect nonsense in dialogues. In this paper, we show that without external classifiers, dialogue models can detect errors in their…
Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems
David Gros, Yu Li, Zhou Yu
Dialog systems are often designed or trained to output human-like responses. However, some responses may be impossible for a machine to truthfully say (e.g. "that movie made me cry…
Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks
Kushal Chawla, Weiyan Shi, Jingwen Zhang +3
Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. Howeve…
Using Chatbots to Teach Languages
Yu Li, Chun-Yen Chen, Dian Yu +6
This paper reports on progress towards building an online language learning tool to provide learners with conversational experience by using dialog systems as conversation practice…