The page lists recent research developments in the area of Stance Learning.
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Updated
Nov 18, 2023
The page lists recent research developments in the area of Stance Learning.
MoLE: Cross-Domain Label-Adaptive Stance Detection
The repository contains the stance detection from twitter data project Code and Documentation
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.
Ideology Detection in the Indian Mass Media
Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021
Rumour Stance Classification of Tweets
The first Persian stance detection dataset and model
Msc Dissertation Project Repository
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.
Personal implementation of the ACL 19 paper "Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations"
Implementation of the Kurybayashi et al. text span representation method using LLMs
Submission for the Fake News Challenge.
[ACL 2022] JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
The code and data for the Paper 'Inferring Climate Change Stances from Multimodal Tweets' accepted by the Short Paper track of SIGIR 2024
A paper & data list of research about stance in NLP
Code for the paper "“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups"
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.
Implementation of multi-task learning (MTL) with different Argument Mining subtasks.
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