jagol/CL-UZH-EDOS-2023

This code accompanies the paper "CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions "

2

stars

61

commits

Python

primary language

Jun 23, 2026

updated

README

CL-UZH-EDOS-2023

This repository contains the code to reproduce the results of the paper CL-UZH@EDOS2023: Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions.

Run Experiments

Setup the environment:

python -m venv env
source env/bin/activate.bin
pip3 install -r requirements.txt

Download, split and preprocess the datasets:

cd CL-UZH-EDOS-2023
bash download.sh
bash preprocess.sh

Execute the experiments:

bash execute_experiments.sh

Contributors

jagol

61 commits

jagol/CL-UZH-EDOS-2023

This code accompanies the paper "CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions "

2

stars

61

commits

Python

primary language

Jun 23, 2026

updated

README

CL-UZH-EDOS-2023

This repository contains the code to reproduce the results of the paper CL-UZH@EDOS2023: Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions.

Run Experiments

Setup the environment:

python -m venv env
source env/bin/activate.bin
pip3 install -r requirements.txt

Download, split and preprocess the datasets:

cd CL-UZH-EDOS-2023
bash download.sh
bash preprocess.sh

Execute the experiments:

bash execute_experiments.sh

Contributors

jagol

61 commits

Languages

Python

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Shell

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