1 code implementation • ACL 2022 • Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu
In this paper, we propose a joint contrastive learning (JointCL) framework, which consists of stance contrastive learning and target-aware prototypical graph contrastive learning.
1 code implementation • ACL 2022 • Jianzhu Bao, Jingyi Sun, Qinglin Zhu, Ruifeng Xu
Argument pair extraction (APE) aims to automatically mine argument pairs from two interrelated argumentative documents.
Argument Pair Extraction (APE) Machine Reading Comprehension +1
no code implementations • 22 Feb 2024 • Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He
While Large language models (LLMs) have the capability to iteratively reflect on their own outputs, recent studies have observed their struggles with knowledge-rich problems without access to external resources.
no code implementations • 16 Feb 2024 • Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui
Existing datasets for narrative understanding often fail to represent the complexity and uncertainty of relationships in real-life social scenarios.
no code implementations • SEMEVAL 2021 • Qinglin Zhu, Zijie Lin, Yice Zhang, Jingyi Sun, Xiang Li, Qihui Lin, Yixue Dang, Ruifeng Xu
This paper presents the winning system that participated in SemEval-2021 Task 5: Toxic Spans Detection.