Rhitabrat / MAMI

Multimedia Automatic Misogyny Identification for Task 5 of SemEval-2022, the 16th International Workshop on Semantic Evaluation

MAMI

Multimedia Automatic Misogyny Identification for Task 5 of SemEval-2022, the 16h International Workshop on Semantic Evaluation

This project tackles Multimedia Automatic Misogyny Identification (MAMI), as outlined for Task 5 of SemEval-2022, the16th International Workshop on Semantic Evaluation. It addresses a popular topic of interest in the machine learning and natural language processing research communities -- multimodal inputs, in this case working with both images and text to produce meaningful outputs. The task is to identify misogynistic memes from a dataset that is provided by the challenge organizers.

Where to find the files?

• The caption generator files are in Caption Generator folder.
• Overlaid Text removal files are in Overlaid Text Remover folder.
• The BERT implementation files for text features (both overlaid text and captions) are in Text Embedding folder.
• The visual embedding generator files are in Visual Embedding folder.
• The datasets are not made public here because of license issues.

Note: Work still in progress