Lynn Greschner and Roman Klinger. Fearful falcons and angry llamas: Emotion category annotations of arguments by humans and llms, 2024. [ bib | arXiv | http ]

Jiahui Li and Roman Klinger. iprop: Interactive prompt optimization for large language models with a human in the loop, 2024. [ bib | arXiv | http ]

Amelie Wührl and Roman Klinger. Self-adaptive paraphrasing and preference learning for improved claim verifiability, 2024. [ bib | arXiv | http ]

Sean Papay, Roman Klinger, and Sebastian Pado. Regular-pattern-sensitive crfs for distant label interactions, 2024. [ bib | arXiv | http ]

Johannes Schäfer, Aidan Combs, Christopher Bagdon, Jiahui Li, Nadine Probol, Lynn Greschner, Sean Papay, Yarik Menchaca Resendiz, Aswathy Velutharambath, Amelie Wührl, Sabine Weber, and Roman Klinger. Which demographics do llms default to during annotation?, 2024. [ bib | arXiv | http ]

Enrica Troiano, Sofie Labat, Marco Stranisci, Rossana Damiano, Viviana Patti, and Roman Klinger. Dealing with controversy: An emotion and coping strategy corpus based on role playing. In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen, editors, Findings of the Association for Computational Linguistics: EMNLP 2024, pages 1634--1658, Miami, Florida, USA, November 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Aswathy Velutharambath, Amelie Wuehrl, and Roman Klinger. How entangled is factuality and deception in German? In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen, editors, Findings of the Association for Computational Linguistics: EMNLP 2024, pages 9538--9554, Miami, Florida, USA, November 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Jan Hofmann, Cornelia Sindermann, and Roman Klinger. Prompt-based personality profiling: Reinforcement learning for relevance filtering, 2024. [ bib | arXiv | http ]

Orphée De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, João Sedoc, and Shabnam Tafreshi, editors. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | http ]

Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz, and Roman Klinger. IMS_medicALY at #SMM4H 2024: Detecting impacts of outdoor spaces on social anxiety with data augmented ensembling. In Dongfang Xu and Graciela Gonzalez-Hernandez, editors, Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks, pages 83--87, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | http ]

Johannes Schäfer, Ulrich Heid, and Roman Klinger. Hierarchical adversarial correction to mitigate identity term bias in toxicity detection. In Orphée De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, João Sedoc, and Shabnam Tafreshi, editors, Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 35--51, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | http | .pdf ]

Egil Rønningstad, Roman Klinger, Erik Velldal, and Lilja Øvrelid. Entity-level sentiment: More than the sum of its parts. In Orphée De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, João Sedoc, and Shabnam Tafreshi, editors, Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 84--96, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

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 Wuehrl, Dustin Wright, Roman Klinger, and Isabelle Augenstein. Understanding fine-grained distortions in reports of scientific findings. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar, editors, Findings of the Association for Computational Linguistics ACL 2024, pages 6175--6191, Bangkok, Thailand and virtual meeting, August 2024. Association for Computational Linguistics. [ bib | arXiv | http | .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 ]