Inez Okulska

Inez Okulska’s research deals with issues related to automatic language processing, both in its application to the detection of harmful content on the Internet (hate speech, child pornography, disinformation), intelligent document processing, and digital humanities in the broadest sense (stylometric research, influence mapping).
In all of these, her main interests are in text vector representation models, which, in addition to meeting the basic criterion of usefulness in supervised or unsupervised classification, carry the potential for explainability, that is, for extracting new and interesting knowledge about the processed texts or language itself.

She is the author of many publications in the field of automatic language processing, as well as literary studies, criticism and translatology. In 2014, she held a postdoctoral fellowship as a visiting researcher at Harvard University. She has presented as a guest speaker and at conferences at UCSD, Stanford University, and the University of Sydney, among others. At a TedX series conference, she presented a paper entitled. The Grammatical Camasutra – or how artificial intelligence reads between the lines.