I am a computational linguist and researcher in natural language processing (NLP). My research interests revolve around NLP and machine learning in challenging scenarios, such as under-resourced languages, multilinguality, or historical documents. I am particularly interested in linguistically-informed approaches to NLP, as well as bringing improvements in NLP technology to a wider range of languages and text genres.
Marcel Bollmann
Associate Professor
Computational linguist and researcher in natural language processing (NLP).
Natural language processing and machine learning
I am associate professor at the division Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA).
CV in brief
PhD
- I have obtained my PhD degree (Dr. phil.) in Computational Linguistics at Ruhr-Universität Bochum, Germany, in 2018.
- My research was funded by various projects related to historical language corpora of German, and my dissertation is on the normalization of historical language data.
Postdoc
- Between 2018 and 2021, I was a postdoc in the CoAStaL NLP group at University of Copenhagen, Denmark.
- During that time, I received funding from the EU in form of a Marie Skłodowska-Curie Fellowship (MSCA) for a project on “morphologically-informed representations for NLP.”
- Our paper on “Error Analysis and the Role of Morphology” won a “Best Long Paper” award at the EACL 2021 conference.
Assistant professor
- Between 2021 and 2023, I was assistant professor at the Jönköping AI Lab (JAIL) at Jönköping University, Sweden.
- I contributed to the advanced-level study program in “AI Engineering”, creating new courses on “Data Science Programming” and “Natural Language Processing.”
Volunteer
- As a volunteer, I also contribute to the development of the ACL Anthology as Site Development Lead.
Publications
2021
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2020
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2019
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