activity
20182022
most citedA Unified Pre-training Framework for Conversational AI

5 citations · 10 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL20223 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.CL20221 cited

Q-TOD: A Query-driven Task-oriented Dialogue System

Xin Tian, Yingzhan Lin, Mengfei Song +5

Existing pipelined task-oriented dialogue systems usually have difficulties adapting to unseen domains, whereas end-to-end systems are plagued by large-scale knowledge bases in pra…

cs.CL2022

Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes

Hua Lu, Zhen Guo, Chanjuan Li +3

In recent years, Internet memes have been widely used in online chatting. Compared with text-based communication, conversations become more expressive and attractive when Internet…

cs.CL2021

Amendable Generation for Dialogue State Tracking

Xin Tian, Liankai Huang, Yingzhan Lin +6

In task-oriented dialogue systems, recent dialogue state tracking methods tend to perform one-pass generation of the dialogue state based on the previous dialogue state. The mistak…

cs.CL20215 cited

A Unified Pre-training Framework for Conversational AI

Siqi Bao, Bingjin Chen, Huang He +7

In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation. PL…

cs.CL2021

Learning to Select External Knowledge with Multi-Scale Negative Sampling

Huang He, Hua Lu, Siqi Bao +4

The Track-1 of DSTC9 aims to effectively answer user requests or questions during task-oriented dialogues, which are out of the scope of APIs/DB. By leveraging external knowledge r…