This repository represents the attempt for the Touché Task 3: Image Retrival for Arguments by the group Aramis (Copy of the original repository)

Fact-checking pipeline for climate change-related claims.

Implementation of a UCLMR paper for Fake News Detection using Stance detection.

Final year project

Example application for applying QLoRA-based Parameter-Efficient Fine-Tuning (PEFT) to a sentence pair classification task using Mistral-7B and Llama3-8B

A simple python script to extract data from Twitter API on a particular target and classify the tweets as positive or negative or neutral based on their sentiment.

German Twitter Stance Detection With BERT on the Russo-Ukrainian Conflict

Political Stance in Danish

Example application for applying QLoRA-based Parameter-Efficient Fine-Tuning (PEFT) to a Stance Detection task using Gemma-2-9B-Instruct

The purpose of this repository is to demonstrate how to use NLP explanation/interpretability tools.

a stance detection model based on pre-trained language model

Code for using BERT embeddings and fine-tuning for classification tasks

This is a transformer based implementation for Stance Detection with Bidirectional Conditional Encoding

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

The Pytorch code for baselines and dataset accompanying the NAACL 2021 paper - "tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets"

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.

Stance and Gender Detection in Tweets on Catalan Independence

an approach based on deep ensemble learning

The PyTorch codebase for the NAACL 2021 paper - "tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets"