Lecturer: Philipp Wicke
Fields: Cognitive Science, Computational Linguistics, AI
Content
Course description will follow soon.
Literature
- Evans, Vyvyan, and Melanie Green. Cognitive linguistics: An introduction. Routledge, 2018.
- Boroditsky, Lera. “Does language shape thought?: Mandarin and English speakers’ conceptions of time.” Cognitive psychology 43.1 (2001): 1-22.
- Wei, Jason, et al. “Emergent abilities of large language models.” arXiv preprint arXiv:2206.07682 (2022).
- ImaniGooghari, Ayyoob, et al. “Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.” arXiv preprint arXiv:2305.12182 (2023).
- Wicke, Philipp. “LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models.” arXiv preprint arXiv:2305.03445 (2023).
- Wicke, Philipp, and Marianna Bolognesi. “Emoji-based semantic representations for abstract and concrete concepts.” Cognitive processing 21.4 (2020): 615-635.
Lecturer
Philipp Wicke studied Cognitive Science at the University of Osnabrück in the B.Sc. programme. During these studies he interned at Dauwels Lab at the NTU Singapore in the field of neuroinformatics, he also interned at the Creative Language Systems Lab at UCD Dublin at which he later wrote his dissertation on “Computational Storytelling as an Embodied Robot Performance with Gesture and Spatial Metaphor” under supervisor Tony Veale. In his current role at the Center for Language and Information Processing (CIS) at LMU, Philipp is researching on Natural Language Processing and teaches programming in the B.A. and M.A. Computational Linguistics. Philipp Wicke was the Head of AI Applications of the AI for People Association, is an Associate Member of the Munich Center for Machine Learning (MCML) and the Munich Center of Linguistics (MCL). Recently, he has been awarded a Junior Researcher in Residency at the Center for Advanced Studies (CAS).
Affiliation: Center for Information and Language Processing (CIS), LMU – Munich
Homepage: www.phil-wicke.com