300 citations · 1.5k across the 38 of their papers we have counts for
8 papers · 1 filter
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
Yang Li, Tao Shen, Guodong Long +3
Wrong labeling problem and long-tail relations are two main challenges caused by distant supervision in relation extraction. Recent works alleviate the wrong labeling by selective…
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long +2
The goal of zero-shot learning (ZSL) is to train a model to classify samples of classes that were not seen during training. To address this challenging task, most ZSL methods relat…
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Lu Liu, Tianyi Zhou, Guodong Long +2
We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-class many-shot and few-class few-shot problem…
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long, Ming Xie, Tao Shen +4
Federated learning has received great attention for its capability to train a large-scale model in a decentralized manner without needing to access user data directly. It helps pro…
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
Bo Wang, Tao Shen, Guodong Long +2
Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion…
Conditional Self-Attention for Query-based Summarization
Yujia Xie, Tianyi Zhou, Yi Mao +1
Self-attention mechanisms have achieved great success on a variety of NLP tasks due to its flexibility of capturing dependency between arbitrary positions in a sequence. For proble…