Final project for NLP(DATA130006) in Fudan university.

Multi-dataset stance detection and robustness experiments

A Multi-relational Graph-Based Twitter Account Detection Benchmark

MoLE: Cross-Domain Label-Adaptive Stance Detection

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

Dataset associated with the "Stance Prediction for Contemporary Issues: Data and Experiments" SocialNLP@ACL2020 paper

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Stance and Gender Detection in Tweets on Catalan Independence

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.

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

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

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.

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

Code and data for EMNLP '17 paper "Human Centered NLP with User-Factor Adaptation"

an approach based on deep ensemble learning

[DASFAA2023] Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies (code&data)

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

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

Fact-checking pipeline for climate change-related claims.

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