Introduction
MAMKit is an open-source, publicly available PyTorch toolkit designed to access and develop datasets, models, and benchmarks for Multimodal Argument Mining (MAM). It provides a flexible interface for accessing and integrating datasets, models, and preprocessing strategies through composition or custom definition. MAMKit is designed to be extendible, ensure replicability, and provide a shared interface as a common foundation for experimentation in the field.
Currently, MAMKit offers 4 datasets, 4 tasks and 6 distinct model architectures, along with audio and text processing capabilities, organized in 5 main components.
Useful Links
Publications
2025
Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates.
Eleonora Mancini, Federico Ruggeri, Serena Villata, and Paolo Torroni. 2025.
In Proceedings of the 12th Argument mining Workshop, pages 358–368, Vienna, Austria. Association for Computational Linguistics.
DOI
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2024
MAMKit: A Comprehensive Multimodal Argument Mining Toolkit.
Eleonora Mancini, Federico Ruggeri, Stefano Colamonaco, Andrea Zecca, Samuele Marro, and Paolo Torroni. 2024.
In Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), pages 69–82, Bangkok, Thailand. Association for Computational Linguistics.
DOI
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