activity
20192024
most citedCross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Enhance Robustness of Language Models Against Variation Attack through Graph Integration

Zi Xiong, Lizhi Qing, Yangyang Kang +5

The widespread use of pre-trained language models (PLMs) in natural language processing (NLP) has greatly improved performance outcomes. However, these models' vulnerability to adv…

cs.IR2021★ 15 cited

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…

cs.IR2020★ 3 cited

Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

Zheng Gao, Hongsong Li, Zhuoren Jiang +1

Cyberspace hosts abundant interactions between users and different kinds of objects, and their relations are often encapsulated as bipartite graphs. Detecting user community in suc…

cs.CL2020

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce

Juntao Li, Chang Liu, Jian Wang +5

With the prosperous of cross-border e-commerce, there is an urgent demand for designing intelligent approaches for assisting e-commerce sellers to offer local products for consumer…

cs.LG2019★ 2 cited

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Zheng Gao, Lin Guo, Chi Ma +6

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…