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

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

A paper & data list of research about stance in NLP

IEEE BigMM Grand Challenge

Stance detection for digitised historical documents

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

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.

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