activity
20182025
most citedLegal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting

51 citations · 65 across the 22 of their papers we have counts for

collaborators

27 papers

cs.CL2021

Dialogue Inspectional Summarization with Factual Inconsistency Awareness

Leilei Gan, Yating Zhang, Kun Kuang +5

Dialogue summarization has been extensively studied and applied, where the prior works mainly focused on exploring superior model structures to align the input dialogue and the out…

cs.CL2021

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

Jiawei Liu, Kaisong Song, Yangyang Kang +5

Chatbot is increasingly thriving in different domains, however, because of unexpected discourse complexity and training data sparseness, its potential distrust hatches vital appreh…

cs.CL2021

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

Changzhen Ji, Yating Zhang, Xiaozhong Liu +4

Conversation generation as a challenging task in Natural Language Generation (NLG) has been increasingly attracting attention over the last years. A number of recent works adopted…

cs.CL202151 cited

Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting

Luyao Ma, Yating Zhang, Tianyi Wang +4

Legal judgment prediction(LJP) is an essential task for legal AI. While prior methods studied on this topic in a pseudo setting by employing the judge-summarized case narrative as…

cs.CL2021

Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning

Fubang Zhao, Zhuoren Jiang, Yangyang Kang +2

Relational fact extraction aims to extract semantic triplets from unstructured text. In this work, we show that all of the relational fact extraction models can be organized accord…

cs.IR2021

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network

Zihan Wang, Hongye Song, Zhaochun Ren +5

Contract element extraction (CEE) is the novel task of automatically identifying and extracting legally relevant elements such as contract dates, payments, and legislation referenc…