CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument
Extraction

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction

1 May 2022

Jie Zhou

Papers citing "CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction"

9 / 9 papers shown

Title
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction Jian Zhang Chang-Qing Yang Haiping Zhu Qika Lin Fangzhi Xu Jun Liu 44 1 0 12 Mar 2024
Curriculum Design Helps Spiking Neural Networks to Classify Time Series Chenxi Sun Hongyan Li Moxian Song Derun Can linda Qiao 34 0 0 26 Dec 2023
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments Liesbeth Allein Maria Mihaela Trucscva Marie-Francine Moens 45 1 0 27 Nov 2023
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction Qizhi Wan Changxuan Wan Keli Xiao Hui Xiong Dexi Liu Xiping Liu 19 4 0 30 Jun 2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction Yuqing Yang Qipeng Guo Xiangkun Hu Yue Zhang Xipeng Qiu Zheng-Wei Zhang 179 26 0 30 May 2023
Causal Intervention-based Prompt Debiasing for Event Argument Extraction Jiaju Lin Jie Zhou Qin Chen 24 3 0 04 Oct 2022
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck Jie Zhou Qi Zhang Qin Chen Liang He Xuanjing Huang 34 20 0 27 Aug 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 454 2,592 0 03 Sep 2019