The page lists recent research developments in the area of Stance Learning.
Multi-dataset stance detection and robustness experiments
Learned string similarity for entity names using optimal transport.
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
MoLE: Cross-Domain Label-Adaptive Stance Detection
Dataset associated with the "Stance Prediction for Contemporary Issues: Data and Experiments" SocialNLP@ACL2020 paper
This repository contains the data and source code used in NAACL 2021 main conference paper Adversarial Learning for Zero-Shot Stance Detection on Social Media.
Github Repository for EMNLP 2023 paper TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
Rumour Stance Classification of Tweets
A paper & data list of research about stance in NLP
The repository contains the stance detection from twitter data project Code and Documentation
IEEE BigMM Grand Challenge
The Source code for our model (Stance Nakba Detection)
Official GitHub page for Velocity Society — a community-driven car club focused on meets, cruises, photography, builds, events, and automotive culture. Built to share club information, media, announcements, and projects with members and supporters.
Initial testing repository for the article hosted on UNic-AILab.github.io
Parush Gera, Tempestt Neal. A Comparative Analysis of Stance Detection Approaches and Datasets. Proceedings of the EVAL4NLP workshop at Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP) 2022.
A study to identify if there is a relation between people’s preference in the war using comments from Reddit. Two wars (Case Study) : Russia v/s Ukraine and Israel v/s Palestine
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