@inproceedings{gemechu-etal-2025-practical,
    title = "Practical Solutions to Practical Problems in Developing Argument Mining Systems",
    author = "Gemechu, Debela  and
      Ruiz-Dolz, Ramon  and
      Lawrence, John  and
      Reed, Chris",
    editor = "Chistova, Elena  and
      Cimiano, Philipp  and
      Haddadan, Shohreh  and
      Lapesa, Gabriella  and
      Ruiz-Dolz, Ramon",
    booktitle = "Proceedings of the 12th Argument mining Workshop",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/display_plenaries/2025.argmining-1.9/",
    pages = "100--106",
    ISBN = "979-8-89176-258-9",
    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."
}