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.

Rumour Stance Classification of Tweets

Github Repository for EMNLP 2023 paper TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings

The repository contains the stance detection from twitter data project Code and Documentation

A paper & data list of research about stance in NLP

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.

IEEE BigMM Grand Challenge

Stance detection for digitised historical documents

Initial testing repository for the article hosted on UNic-AILab.github.io

Stance Detection with Conditional Encoding

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

Empowering Inclusive E-Deliberation by Harnessing Collective Wisdom and Minority Perspectives using AI and LLMs