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20172024
most citedSemi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation

120 citations · 145 across the 13 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2022

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction

Wangjie Jiang, Zhihao Ye, Zijing Ou +7

Chinese Spelling Correction (CSC) is gaining increasing attention due to its promise of automatically detecting and correcting spelling errors in Chinese texts. Despite its extensi…

cs.CL20224 cited

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

Yi Cheng, Wenge Liu, Wenjie Li +5

Providing Emotional Support (ES) to soothe people in emotional distress is an essential capability in social interactions. Most existing researches on building ES conversation syst…

cs.CL20221 cited

"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

Wenge Liu, Yi Cheng, Hao Wang +6

With the rise of telemedicine, the task of developing Dialogue Systems for Medical Diagnosis (DSMD) has received much attention in recent years. Different from early researches tha…

cs.CL20211 cited

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

Yi Cheng, Siyao Li, Bang Liu +4

This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels. Previous research on this ta…

cs.CL20212 cited

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

Zhengxu Hou, Bang Liu, Ruihui Zhao +4

For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the spa…

cs.CL20208 cited

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

Shuai Lin, Pan Zhou, Xiaodan Liang +4

Human doctors with well-structured medical knowledge can diagnose a disease merely via a few conversations with patients about symptoms. In contrast, existing knowledge-grounded di…