Year: 2025
Type: conference-paper
Abstract: The Open Argument Mining Framework (oAMF) addresses key challenges in argument mining research which still persist despite the field's impressive growth.Researchers often face difficulties with cross-system comparisons, incompatible representation languages, and limited access to reusable tools.The oAMF introduces a standardised yet flexible architecture that enables seamless component benchmarking, rapid pipeline prototyping using elements from diverse research traditions, and unified evaluation methodologies that preserve theoretical compatibility.By reducing technical overhead, the framework allows researchers to focus on advancing core argument mining capabilities rather than reimplementing infrastructure, fostering greater collaboration at a time when computational reasoning is increasingly vital in the era of large language models.
Institution: University of Dundee
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: G5394840126, G8830805654
OpenAlex ID: W4412889325