Welcome to the website of the Computational Linguistics Group in Bielefeld.

Generally, we work on natural language processing and on learning models for language generation & understanding from data. We would like to develop machines that use language as flexibly and smoothly as humans do. This is why we are particularly interested in computational modeling of language use, visual language grounding, reference, pragmatics and dialogue.

From left to right: Clara Lachenmaier, Ronja Utescher, Özge Alaçam, Marc Brinner, Nazia Attari, Simeon Junker, Sina Zarrieß, Henrik Voigt
Not pictured: Sanne Hoeken, Judith Sieker, Bastian Bunzeck

News

• Mar ‘24: Clara presented her late breaking report Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human–Robot Interaction at the International Conference on Human Robot Interaction (HRI) 2024 in Boulder (Colorado)!
• Dec ‘23: We presented four papers at EMNLP 2023 (and adjacent workshops) in Singapore: Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models (Sanne & Özge), Towards Detecting Lexical Change of Hate Speech in Historical Data (Sanne, Sina & Özge), When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle (Judith & Sina) and GPT-wee: How Small Can a Small Language Model Really Get? (Bastian & Sina).