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

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

Anushka Prakash
Harish Tayyar Madabushi
ArXiv (abs)PDFHTML

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
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
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
83
9
0
15 Oct 2022
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
Yujian Liu
Xinliang Frederick Zhang
David Wegsman
Nick Beauchamp
Lu Wang
71
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
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
67
2
0
07 Oct 2021