We are a dynamic research group at the Center for Information and Language Processing located at Ludwig Maximilian University Munich. Our primary focus is linguistically-informed Neural NLP: We use our deep understanding of language in our research and believe in the principle that learning is key to successful NLP – the same way that the language capabilities of humans are based on learning.
Our research areas are representation learning, multilinguality, machine learning for low-resource scenarios, cognitively motivated deep learning, linguistically informed deep learning (especially for morphology), digital humanities, and the intersection of NLP and robotics.
You can find resources (data, code, repositories) released by CIS lab members on our GitHub page and HuggingFace page.
We are looking for passionate new PhD students, Postdocs, interns, IDP (TUM) and MSc/BSc thesis students to join the team (more info) !
We are grateful for funding from the Munich Centre for Machine Learning (MCML), Elitenetzwerk Bayern (International Doctorate Program), Deutsche Forschungsgemeinschaft (DFG) and from the European Research Council ERC advanced grant.
We have 8 papers accepted by EMNLP 2023! Congrats to all the authors!
24 October 2023We use this as our new homepage!
05 July 2023Silvia successfully defended her PhD Thesis. Congrats Silvia!
06 June 2023We have 6 papers accepted by ACL 2023! Congrats to all the authors!
08 December 2022Prof. Schütze has been selected as an ACL fellow for 2022! Congratulations, Hinrich!
01 December 2022Chunlan and Haotian joined the lab as a Ph.D. student! Welcome aboard!