Lynn Greschner

I am a PhD student supervised by Prof. Dr. Roman Klinger, funded by the EMCONA project. My research focuses on the interplay of emotions and convincingness in arguments. Currently, I am investigating the impact of deception and factuality on the subjectively perceived degree of persuasion in German and English arguments.

Previously, I completed the Bachelor’s program in German and English Studies at the University of Augsburg and obtained my Master’s degree in Computational Linguistics from the University of Stuttgart. There I shifted my focus to the computational modeling of emotions, arguments, and medical social media mining. I wrote my thesis on assessing quality of life aspects of people with mental health conditions using social media.

Publications

Chen, Yanran et al. (2026): Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection. In: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics. S. 6709–6732.

Greschner, Lynn et al. (2026): Categorical Emotions or Appraisals: Which Emotion Model Explains Argument Convincingness Better?. In: Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026). Paris: European Languages Resources Association (ELRA). S. 8190–8203.

Greschner, Lynn/Weber, Sabine/Klinger, Roman (2026): Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework and the ContArgA Corpus. In: Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026). Paris: European Languages Resources Association (ELRA). S. 8327–8346.

Weber, Sabine/Greschner, Lynn/Klinger, Roman (2026a): Less Is More?: The Role of Demographic Author Information in Emotion Classification of Ambiguous Text. In: Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026). Paris: European Languages Resources Association (ELRA). S. 8147–8161.

Weber, Sabine/Greschner, Lynn/Klinger, Roman (2026b): Says Who?: Argument Convincingness and Reader Stance Are Correlated with Perceived Author Personality. In: The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026). Association for Computational Linguistics. S. 265–277.

Greschner, Lynn/Klinger, Roman (2025): Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs. In: Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities. Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 628–646.

Greschner, Lynn/Wührl, Amelie/Klinger, Roman (2025): QoLAS: A Reddit Corpus of Health-Related Quality of Life Aspects of Mental Disorders. In: Proceedings of the 24th Workshop on Biomedical Language Processing. Association for Computational Linguistics. S. 201–216.

Schäfer, Johannes et al. (2025): Which Demographics do LLMs Default to During Annotation?. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 17331–17348.

Wührl, Amelie et al. (2024): IMS_medicALY at #SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling. In: Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. Bangkok, Thailand: Association for Computational Linguistics. S. 83–87.