1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
Yuanxin Liu, Fandong Meng, Zheng Lin +4
Recent studies on the lottery ticket hypothesis (LTH) show that pre-trained language models (PLMs) like BERT contain matching subnetworks that have similar transfer learning perfor…
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang +4
Document-level RE requires reading, inferring and aggregating over multiple sentences. From our point of view, it is necessary for document-level RE to take advantage of multi-gran…
RLINK: Deep Reinforcement Learning for User Identity Linkage
Xiaoxue Li, Yanan Cao, Yanmin Shang +3
User identity linkage is a task of recognizing the identities of the same user across different social networks (SN). Previous works tackle this problem via estimating the pairwise…
Joint Entity Linking with Deep Reinforcement Learning
Zheng Fang, Yanan Cao, Dongjie Zhang +3
Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base. Previous studies have highlighted the necessity for entity linking systems to c…