Alan focuses on research in machine learning (ML) and natural language processing (NLP), with the goal of giving machines the ability to understand and use human language. This spans research topics such as neural language modeling, sample-efficient learning and semantic parsing, as well as application areas in large-scale text analytics. Together with his group and the open source community, he develops the NLP framework Flair (https://github.com/flairNLP/flair) that allows anyone to use state-of-the-art NLP methods in their research or applications.

https://www.scienceofintelligence.de/event/pi-lecture-with-alan-akbik-2/