Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection

18 October 2020

Papers citing "Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection"

4 / 4 papers shown

Title
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content Lata Pangtey Mohammad Zia Ur Rehman Prasad Chaudhari Shubhi Bansal Nagendra Kumar 42 0 0 27 May 2025
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge Shangbin Feng Zhaoxuan Tan Zilong Chen Ningnan Wang Peisheng Yu Qinghua Zheng Xiao Chang Minnan Luo 81 9 0 15 Oct 2022
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection Yujian Liu Xinliang Frederick Zhang David Wegsman Nick Beauchamp Lu Wang 69 76 0 02 May 2022
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction E. Yan Harish Tayyar Madabushi 65 2 0 07 Oct 2021