Argumentation and Domain Discourse in Scholarly Articles on the Theory of International Relations
Magdalena Wolska, Sassan Gholiagha, Mitja Sienknecht, Dora Kiesel, Irene Lopez Garcia, Patrick Riehmann, Matti Wiegmann, Bernd Froehlich
Abstract
We present the first dataset, an annotation scheme, discourse analysis, and baseline experiments on argumentation and domain content types in scholarly articles on political science, specifically on the theory of International Relations (IR). The dataset comprises over 1 600 sentences stemming from three foundational articles on Neo-Realism, Liberalism, and Constructivism. We show that our annotation scheme enables educationally-relevant insight into the scholarly IR discourse and that state-of-the-art classifiers, while effective in distinguishing basic argumentative elements (Claims and Support/Attack relations) reaching up to 0.97 micro F1 , require domain-specific training and fine-tuning on the more fine-grained tasks of relation and content type prediction.
BibTeX
@inproceedings{wolska-etal-2025-argumentation,
title = "Argumentation and Domain Discourse in Scholarly Articles on the Theory of International Relations",
author = {Wolska, Magdalena and
Gholiagha, Sassan and
Sienknecht, Mitja and
Kiesel, Dora and
Lopez Garcia, Irene and
Riehmann, Patrick and
Wiegmann, Matti and
Froehlich, Bernd and
Girgensohn, Katrin and
Neyer, J{\"u}rgen and
Stein, Benno},
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.621/",
pages = "9238--9249"
}