Keynotes

Michael Hahn (Saarland University)

Michael Hahn is a Tenure-Track Professor (W2) at Saarland Informatics Campus at Saarland University, where he directs the Language, Computation, and Cognition Lab (LaCoCo). He is affiliated with the Departments of Language Science and Technology and Computer Science. Michael Hahn received his PhD from Stanford University in 2022, advised by Judith Degen and Dan Jurafsky.

Sina Zarrieß (Universität Bielefeld)

Sina Zarrieß Sina Zarrieß is a professor for Computational Linguistics at Bielefeld University. Previously, she held a junior professorship for Digital Humanities, Language Technology and Machine Learning at the University of Jena. She obtained her PhD at the Institute for Natural Language Processing at Stuttgart University and spent her post-doc at the University of Bielefeld as a member of the Excellence Cluster for Cognitive Interaction Technology. Her research focuses on computational models of language use in text and dialogue, with applications in natural language generation, dialogue systems, language & vision.

Timo Freiesleben (Universität Tübingen)

Timo Freiesleben Timo Freiesleben is a postdoctoral fellow at the Cluster of Excellence Machine Learning for Science at the University of Tübingen. His research explores how concepts from the philosophy of science—such as explanation, representation, and robustness—can inform and enhance both theoretical and practical aspects of machine learning. His work focuses particularly on how machine learning can contribute to generating new scientific insights. Prior to his position in Tübingen, he completed his PhD at the Munich Center for Mathematical Philosophy at LMU Munich, where he investigated the question of what explainable artificial intelligence actually explains.

Accepted Workshops

5th Workshop on Computational Linguistics for the Political and Social Sciences (CPSS)

The main goal of the workshop is to bring together researchers and ideas from computational linguistics/NLP and the text-as-data community from political and social science, in order to foster collaboration and catalyze further interdisciplinary research efforts between these communities.

The different submission types (archival/non-archival) are supposed to meet the needs of researchers from different communities, allowing them to come together and exchange ideas in a “get to know each other” environment with the goal of fostering interdisciplinary collaborations.

See https://cpss-sig.github.io/CPSS-2025/ for more information.

KlarText Workshop: German Text Simplification & Readability Assessment

This is the first edition of the KlarText workshop on German Text Simplification & Readability Assessment. The KlarText Workshop aims to bring together researchers, practitioners, and industry experts to discuss state-of-the-art methods, share resources, and identify future research directions in German text simplification and readability assessment. We especially want to highlight the different simplification goals and the variety of simplified language forms in German, such as Einfache Sprache and Leichte Sprache, and encourage researchers to address the challenges of German text simplification. A key focus of the workshop is the evaluation and resources for text simplification methods. By fostering interdisciplinary exchange, we aim to advance research on making information more accessible.

See https://klar-text.github.io/ for more information.

Workshop on NLP for Sustainability (NLP4Sustain)

With this workshop, we want to provide an interdisciplinary forum for discussing research, progress, and challenges in the context of NLP and sustainability. We invite submissions about NLP-based analyses of sustainability-related texts, sustainable NLP models and evaluation practices in general, as well as other related topics. Authors and other participants will engage with each other in a poster session and there will be an interdisciplinary invited talk with an ensuing discussion. The results of the SustainEval GermEval Shared Task will also be presented at the workshop.

GermEval

The following tasks have been accepted for GermEval 2025:

  • Understanding Sustainability Reports

With this shared task, we aim to fuel research on automatic analysis and detection of greenwashing by challenging participants to build systems that categorize excerpts from German sustainability reports for (A) content class and (B) statement verifiability rating. We also invite submission of original papers about analyzing sustainability texts with NLP and other aspects of sustainability and NLP. Papers should describe original, unpublished work and can be technical contributions of empirical or theoretical nature, literature surveys or opinion pieces. For more information, submission formats, and trial data please refer to the shared task homepage: https://sustaineval.github.io/

  • Harmful Content Detection in Social Media

This shared task focuses on detecting harmful content in German social media posts, addressing three key challenges: identifying calls to action, detecting attacks on the free democratic basic order (DBO) and recognizing disturbingly positive statements towards violence. These forms of content pose risks, such as inciting violence or undermining democratic structures.

Link zum Task: https://www.codabench.org/competitions/4963

  • Flausch-Erkennung

The task is to identify expressions of candy speech (“Flausch”) in online posts (YouTube comments). We define candy speech as an expression of positive attitudes in social media toward individuals or their output (videos, comments, etc.). The purpose of candy speech is to encourage, cheer up, support and empower others. It can be viewed as the counterpart to hate speech, as it also aims to influence the self-image of the target person or group, but in a positive way.

We offer the following two subtasks:

Subtask 1: Coarse-Grained Classification. The goal of this subtask is to identify whether the given comment contains candy speech (“Flausch”) or not.

Subtask 2: Fine-Grained Classification. The goal of this subtask is to identify the span of each candy speech expression in a given text and classify it in one of the predefined categories, such as “positive feedback”, “compliment”, “group membership” etc.

More details on the subtasks (including examples) can be found on the website of the shared task: https://yuliacl.github.io/GermEval2025-Flausch-Erkennung/

  • LLMs4Subjects

Building on the strong community engagement of its first iteration, the second edition of LLMs4Subjects continues to challenge researchers to develop cutting-edge LLM-based solutions for subject tagging of technical records from Leibniz University’s Technical Library (TIBKAT). Participants must leverage LLMs to tag records using the GND taxonomy, the standard across all German libraries. The task requires bilingual language modeling, as systems must process technical documents in both German and English. Successful solutions may be integrated into TIB’s operational workflows at the Leibniz Information Centre for Science and Technology.

Task website: https://sites.google.com/view/llms4subjects-germeval/