Magdalena Wolska — accepted AI-conference papers

2025

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 +5

COLING 2025main

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…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

Trigger Warning Assignment as a Multi-Label Document Classification Problem

Matti Wiegmann, Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast

ACL 2023long

A trigger warning is used to warn people about potentially disturbing content. We introduce trigger warning assignment as a multi-label classification task, create the Webis Trigger Warning Corpus 2022, and with it the first dataset of 1 million fanfiction works from Archive of our Own with up to 36…

Cited by 20 Source ↗PDF ↗code ↗Scholar ↗

2022

CausalQA: A Benchmark for Causal Question Answering

Alexander Bondarenko, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein +3

COLING 2022main

At least 5% of questions submitted to search engines ask about cause-effect relationships in some way. To support the development of tailored approaches that can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus of 1.1 million causal questions with answers. We distinguish dif…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗