Alan Akbik

I am senior research scientist at Zalando Research, researching deep learning technologies for advanced text analytics capabilities over large-scale multilingual text data. Before this, I was a researcher at IBM Research Almaden in San Jose, California, and before that a research associate at the TU Berlin. My research lies at the intersection of natural language processing (NLP) and information extraction (IE), with a particular focus on multilingual data and models of crosslingual semantics.

My current research focus is Flair, a new approach for state-of-the-art NLP. Here, we leverage large-scale neural language modeling at the character-level to enable new state-of-the-art sequence labeling and text classification approaches that outperform all previous approaches at core NLP tasks such as shallow syntactic parsing and named entity recognition.