81 citations · 181 across the 13 of their papers we have counts for
21 papers
ProAgent: From Robotic Process Automation to Agentic Process Automation
Yining Ye, Xin Cong, Shizuo Tian +9
From ancient water wheels to robotic process automation (RPA), automation technology has evolved throughout history to liberate human beings from arduous tasks. Yet, RPA struggles…
Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension
Xin Lv, Yankai Lin, Zijun Yao +4
Knowledge graphs, as the cornerstone of many AI applications, usually face serious incompleteness problems. In recent years, there have been many efforts to study automatic knowled…
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods
Yankai Lin, Iman Shames, Dragan Nesic
We study the problem of minimizing the sum of potentially non-differentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communica…
Representation Learning for Natural Language Processing
Zhiyuan Liu, Yankai Lin, Maosong Sun
This book aims to review and present the recent advances of distributed representation learning for NLP, including why representation learning can improve NLP, how representation l…
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin, Yankai Lin, Ryuichi Takanobu +6
Pre-trained Language Models (PLMs) have shown superior performance on various downstream Natural Language Processing (NLP) tasks. However, conventional pre-training objectives do n…
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
Hao Peng, Tianyu Gao, Xu Han +5
Neural models have achieved remarkable success on relation extraction (RE) benchmarks. However, there is no clear understanding which type of information affects existing RE models…