2025
EMNLP
EMNLP 2025
AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy
Abstract
AbstractArgument(ation) mining (AM) is the automated process of identification and extraction of argumentative structures in natural language. This field has seen rapid advancements, offering powerful tools to analyze and interpret complex and large discourse in diverse domains (political debates, medical reports, etc.). In this paper we introduce an AM-boosted version of BCause, a large-scale deliberation platform.The system enables the extraction and analysis of arguments from online discussions in the context of deliberative democracy, which aims to enhance the understanding and accessibility of structured argumentation in large-scale deliberation processes.
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Interdisciplinary Bridge
— Artificial Intelligence and Interdisciplinary and Natural Language Processing
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Keyword Pioneer
— structured discussion
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Understanding > Semantic Analysis
Natural Language Processing > Applications > Information Extraction
Interdisciplinary > Social > Digital Humanities
Artificial Intelligence > Core AI > Language
Artificial Intelligence > Core AI > Natural Language Processing
Natural Language Processing > Applications > Argument Mining