activity
20202022
most citedAdaCoach: A Virtual Coach for Training Customer Service Agents

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022

Robust Domain Adaptation for Machine Reading Comprehension

Liang Jiang, Zhenyu Huang, Jia Liu +2

Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer. Such…

cs.CL20222 cited

AdaCoach: A Virtual Coach for Training Customer Service Agents

Shuang Peng, Shuai Zhu, Minghui Yang +5

With the development of online business, customer service agents gradually play a crucial role as an interface between the companies and their customers. Most companies spend a lot…

cs.CL20221 cited

Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue

Zhihao Wang, Tangjian Duan, Zihao Wang +3

Context modeling plays a significant role in building multi-turn dialogue systems. In order to make full use of context information, systems can use Incomplete Utterance Rewriting(…

cs.CL20222 cited

Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations

Ruijie Yan, Shuang Peng, Haitao Mi +7

Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to…

cs.CL2021

A Dialogue-based Information Extraction System for Medical Insurance Assessment

Shuang Peng, Mengdi Zhou, Minghui Yang +6

In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant. This is a highly professional job that i…

cs.CL2020

Interactive Question Clarification in Dialogue via Reinforcement Learning

Xiang Hu, Zujie Wen, Yafang Wang +2

Coping with ambiguous questions has been a perennial problem in real-world dialogue systems. Although clarification by asking questions is a common form of human interaction, it is…