Human-Centered Data Science
We are a research group founded by Prof. Lisa Beinborn. We work on natural language processing (NLP) with a human-centered perspective and are affiliated with the Computer Science Institute and the Campus Institute Data Science at the University of Göttingen.
Team
Our team is growing. Come join us!
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Prof. Lisa Beinborn Group Head |
Jonas Mayer Martins PhDStudent |
Zhuojing Huang PhD Student |
Jana Hackethal Team Assistant |
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News
- Lisa Beinborn was invited to give the ceremonial lecture at the university's new years reception. She spoke about "Sprache modellieren — Das Zusammenspiel von Informatik, Linguistik und Psychologie"
- Register for our HumanCLAIM workhop taking place in Göttingen on March 26th/27th.
- Lisa Beinborn has been awarded an Impulsprofessur grant to work towards poly-vocal language models that can account for cross-lingual and individual differences.
- Our group has been very active at EMNLP 2024 in Miami:
- We explored the frequency bias of current language models and propose a new approach called Syntactic Smoothing that reduces both frequency bias and anisotropy of the representational space.
- Our group won both of the outstanding paper awards at the ConLL BabyLM Challenge. Lisa Beinborn cooperated with researchers from Cambridge to analyze the capabilities of a language model that learns from speech-like input represented as phonemes. Our guest researcher Miyu Oba worked on variation sets. Together with a Groningen-Tokyo-Nara combo she systematically used sets of varied sentences expressing a similar intent during language model pre-training.
- Jenia Kim presented her ideas for adaptive simplification of municipal texts at the TSAR workshop.
- Miyu Oba showed that language models still have a hard time inducing grammatical knowledge from indirect evidence.
- We explored the frequency bias of current language models and propose a new approach called Syntactic Smoothing that reduces both frequency bias and anisotropy of the representational space.
- Lisa Beinborn and Nora Hollenstein wrote a book on Cognitive Plausibility in Natural Language Processing.