2 papers
cs.CL2025
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Wanli Li, Tieyun Qian, Yi Song +4
Zero-shot Relation Triplet Extraction (ZeroRTE) aims to extract relation triplets from texts containing unseen relation types. This capability benefits various downstream informati…
cs.LG2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang, Lu Li, Shuyan Wan +5
The paper discusses signed graphs, which model friendly or antagonistic relationships using edges marked with positive or negative signs, focusing on the task of link sign predicti…