Hi all, great to see some familiar faces around here!
I’m Thomas Winters, a PhD student researching computational humor and creative artificial intelligence at the DTAI research group (KU Leuven, Belgium). I mainly focused on symbolic approaches, but now some more on transformer models as well. More specifically, some Dutch NLP projects I worked on are:

More Dutch Twitterbots than I care to admit (although most are listed here 4).

Pieter and I created RobBERT 2, the state-of-the-art Dutch BERT model.
We used this RobBERT model to show that BERT models are drastically better at humor detection than previous types of language models. By generating “broken” jokes with the same structure & vocabulary as jokes, we showed that while other language models like LSTM and CNN could not distinguish both types at all (less accuracy than random guessing), the RobBERT model still got ~90% accuracy.
Helped built technologies for Improbotics Flanders 1, a show where we play improv theatre with a GPT-2-powered robot.
Designed Gitta 2, a template-powered grammar induction algorithm for creating interpretable generative models.
Right now, doing research on combining neural and symbolic methods for NLP.

More info & contact:

Personal website: thomaswinters.be 4

Twitter: @thomas_wint 3

GitHub: twinters