The page lists recent research developments in the area of Stance Learning.

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

MoLE: Cross-Domain Label-Adaptive Stance Detection

This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "The Longest Month: Analyzing the Dynamics of Opinions Regarding COVID-19 Vaccination from Tweets in the Month following the First Vaccine Announcement" published in IEEE Access.

Personal implementation of the ACL 19 paper "Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations"

The code and data for the Paper 'Inferring Climate Change Stances from Multimodal Tweets' accepted by the Short Paper track of SIGIR 2024

[ACL 2022] JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection

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

Novel unified representation to solve all the sub-tasks of argumentation mining

Implementation of multi-task learning (MTL) with different Argument Mining subtasks.

Ideology Detection in the Indian Mass Media

This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "Unmasking People’s Opinions behind Mask Wearing during COVID-19 Pandemic – a Twitter Stance Analysis" submitted to the Symmetry journal.

The first Persian stance detection dataset and model

autoparts vintage

Implementation of the Kurybayashi et al. text span representation method using LLMs

Submission for the Fake News Challenge.

Msc Dissertation Project Repository

Code for the paper "“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups"