Christopher Bagdon, Prathamesh Karmalkar, Harsha Gurulingappa, and Roman Klinger. “you are an expert annotator”: Automatic best--worst-scaling annotations for emotion intensity modeling. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 7917--7929, Mexico City, Mexico, June 2024. Association for Computational Linguistics. [ bib | http ]

Amelie Wührl, Dustin Wright, Roman Klinger, and Isabelle Augenstein. Understanding fine-grained distortions in reports of scientific findings. In Findings of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | arXiv | .pdf ]

Eileen Wemmer, Sofie Labat, and Roman Klinger. EmoProgress: Cumulated emotion progression analysis in dreams and customer service dialogues. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 5660--5677, Torino, Italy, May 2024. ELRA and ICCL. [ bib | http | .pdf ]

Aswathy Velutharambath, Amelie Wührl, and Roman Klinger. Can factual statements be deceptive? the DeFaBel corpus of belief-based deception. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2708--2723, Torino, Italy, May 2024. ELRA and ICCL. [ bib | arXiv | http | .pdf ]

Patrick Bareiß, Roman Klinger, and Jeremy Barnes. English prompts are better for NLI-based zero-shot emotion classification than target-language prompts. In Companion Proceedings of the ACM on Web Conference 2024, WWW '24, page 1318–1326, New York, NY, USA, 2024. Association for Computing Machinery. [ bib | DOI | http ]

Maximilian Wegge and Roman Klinger. Topic bias in emotion classification. In Rob van der Goot, JinYeong Bak, Max Müller-Eberstein, Wei Xu, Alan Ritter, and Tim Baldwin, editors, Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024), pages 89--103, San Ġiljan, Malta, March 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger, and Roman Klinger. What makes medical claims (un)verifiable? analyzing entity and relation properties for fact verification. In Yvette Graham and Matthew Purver, editors, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2046--2058, St. Julian's, Malta, March 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]