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

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

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

Ideology Detection in the Indian Mass Media

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

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

Toolkit for the paper "Explainable Subjective Stance Classification with SetFit in Political Discourse". The project leverages the SetFit few-shot learning framework, Sentence Transformers architecture, and traditional linguistic ML to enhance explainability in stance classification.

Submission for the Fake News Challenge.

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

autoparts vintage

Attempted to develop a single, end to end stance detection system that consists of lexical and similarity features passed through a multi-layer perceptron (MLP) with one hidden layer. Further, have incorporated attention vectors in the initial layers and compared results of both models.

Implemantation of a BERT cascade model

This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process" published in the International Journal of Environmental Research and Public Health.

FarExStance: The first and largest claim-based explainable stance detection dataset on Farsi

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

Msc Dissertation Project Repository

This repository contains the annotated dataset referenced in the paper "Unveiling Vaccine Hesitancy on Twitter: Analyzing Trends and Reasons during the Emergence of COVID-19 Delta and Omicron Variants".