Practical Solutions to Practical Problems in Developing Argument Mining Systems

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.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.argmining-1.9
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Practical Solutions to Practical Problems in Developing Argument Mining Systems

Debela Gemechu, Ramon Ruiz-Dolz, John Lawrence, Chris Reed
Mining Techniques and Economics
article

Practical Solutions to Practical Problems in Developing Argument Mining Systems

Debela Gemechu, Ramon Ruiz-Dolz, John Lawrence, Chris Reed
article en

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.

National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, HORIZON EUROPE Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Mining Techniques and Economics
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Practical Solutions to Practical Problems in Developing Argument Mining Systems — Debela Gemechu, Ramon Ruiz-Dolz, et al. · (2025) | TGRS Research Map | TGRS