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SemEval 2023 Task 10: Explainable Detection of Online Sexism (EDOS)

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Explainable Sexism

This repository contains the associated code for the Argument Mining class WiSe22-23.

We go over the multiclass classification of Online Sexism based on the data provided the SemEval 2023 Task 10B. A link to the task paper can be found here.

Setup

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

NOTE: the code has been tested on Python 3.8.10

Data

The data used for training and testing the code can be found at the SemEval Task linked above.

Usage

There are two main modules in this project: Master of Class Experts (MoCE) and Master of Domain Experts (MoDE).

To run the MoCE module:

python moce_main.py

To run the MoDE module:

python mode_main.py

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SemEval 2023 Task 10: Explainable Detection of Online Sexism (EDOS)

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