9 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 4 cited
Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension
Zhuosheng Zhang, Hai Zhao, Longxiang Liu
Training machines to understand natural language and interact with humans is one of the major goals of artificial intelligence. Recent years have witnessed an evolution from matchi…
cs.CL2020★ 9 cited
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue
Longxiang Liu, Zhuosheng Zhang, Hai Zhao +2
A multi-turn dialogue is composed of multiple utterances from two or more different speaker roles. Thus utterance- and speaker-aware clues are supposed to be well captured in model…