Paper presented at KONVENS 2025

Recently, we have attended KONVENS, the annual conference organized by German computational linguistics research societies. Johannes Sch?fer presented our work on German Affective Narrative Generation where we investigate the adaptation of an English large language model prompting approach to the German language. Affective narrative generation aims to solve the task explaining different emotions being evoked in ambiguous event descriptions by generating contexts that make a particular interpretation more clear. We test different possibilities of localizing the English approach to German in order to create a dataset for contextualized emotion analysis. The results show that a substantial degree of localization is required, however, using localized German prompts does not neccessarily lead to the most natural output. While the multilingual large language model performs similar in German than in English at easier components of the task, it struggles with more difficult components, such as shaping emotions precisely in the added German contexts.

• Our paper: Johannes Sch?fer, Sabine Weber, and Roman Klinger. 2025. Localization of English Affective Narrative Generation to German. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 241–256, Hannover, Germany. HsH Applied Academics.
• More information, access to code and data

Johannes Sch?fer is part of our research staff working in the project CEAT. The goal of this project is to understand how emotions are expressed in text and how we can computationally analyze them in modeling event description. With the abovementioned work we address the essential aspect of contexts and how they can influence the emotion interpretation.