activity
20192022
most citedTowards Conversational Recommendation over Multi-Type Dialogs

20 citations · 41 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2022★ 3 cited

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation

Siqi Bao, Huang He, Jun Xu +7

Recently, the practical deployment of open-domain dialogue systems has been plagued by the knowledge issue of information deficiency and factual inaccuracy. To this end, we introdu…

cs.CL2022★ 5 cited

Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge

Han Zhou, Xinchao Xu, Wenquan Wu +5

Making chatbots world aware in a conversation like a human is a crucial challenge, where the world may contain dynamic knowledge and spatiotemporal state. Several recent advances h…

cs.CL2022★ 2 cited

Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation

Shihang Wang, Xinchao Xu, Wenquan Wu +3

Emotional support is a crucial skill for many real-world scenarios, including caring for the elderly, mental health support, and customer service chats. This paper presents a novel…

cs.CL2022

Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

Zeming Liu, Jun Xu, Zeyang Lei +3

Most dialog systems posit that users have figured out clear and specific goals before starting an interaction. For example, users have determined the departure, the destination, an…

cs.CL2022★ 5 cited

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

Xinchao Xu, Zhibin Gou, Wenquan Wu +4

Most of the open-domain dialogue models tend to perform poorly in the setting of long-term human-bot conversations. The possible reason is that they lack the capability of understa…

cs.CL2021

DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

Zeming Liu, Haifeng Wang, Zheng-Yu Niu +2

In this paper, we provide a bilingual parallel human-to-human recommendation dialog dataset (DuRecDial 2.0) to enable researchers to explore a challenging task of multilingual and…