Machine Learning Group – Prof. Dr. Alan Akbik
Welcome to the Machine Learning Group of the Humboldt-Universität zu Berlin!
Our group focuses on research in machine learning (ML) and natural language processing (NLP). We aim to give machines the ability to understand and use human language. To achieve this, our group develops the Flair framework for automated text analysis. It is already used in hundreds of research projects and industrial applications and is frequently listed among the most popular deep learning frameworks for NLP.
On these pages you can find more information about our group:
Flair
The Flair framework for state-of-the-art NLP
Our research
Transfer learning, universal representations, etc.
Our teaching
Information on courses for students
Open positions!
Our group is growing quickly thanks to many DFG projects and industrial collaborations, so we are always looking for PhD candidates and student assistants to join our group. Contact us in case of interest!
News
- 11.05.2023 - OpinionGPT: Our German-langauge OpinionGPT now available as web demo!
- 05.05.2023 - Outstanding Paper Award: Our paper "ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation" winds Outstanding Paper Award at EACL 2023!
- 15.04.2023 - New Release: New Website on Flair documentation!
- 30.03.2023 - Open Source Release: New version of Flair (v0.12.2) released!
- 20.02.2023 - Open Source Release: Our ZELDA Entity Linking dataset now available on Github!
- 10.01.2023 - New Paper: Full paper on entity linking accepted to EACL 2023!